svn-gvsig-desktop / branches / v10 / extensions / DielmoOpenLidar / src / com / dielmo / gvsig / lidar / extensions / LidarExtension.java @ 25419
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/* DielmoOpenLiDAR
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*
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* Copyright (C) 2008 DIELMO 3D S.L. (DIELMO) and Infrastructures
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* and Transports Department of the Valencian Government (CIT)
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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* MA 02110-1301, USA.
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*
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* For more information, contact:
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*
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* DIELMO 3D S.L.
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* Plaza Vicente Andr?s Estell?s 1 Bajo E
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* 46950 Xirivella, Valencia
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* SPAIN
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*
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* +34 963137212
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* dielmo@dielmo.com
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* www.dielmo.com
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*
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* or
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*
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* Generalitat Valenciana
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* Conselleria d'Infraestructures i Transport
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* Av. Blasco Ib??ez, 50
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* 46010 VALENCIA
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* SPAIN
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*
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* +34 963862235
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* gvsig@gva.es
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* www.gvsig.gva.es
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*/
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/*
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* AUTHORS (In addition to DIELMO and CIT):
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*
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*/
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package com.dielmo.gvsig.lidar.extensions; |
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import java.awt.Color; |
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import java.awt.Component; |
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import java.awt.geom.Rectangle2D; |
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import java.io.File; |
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import java.io.FileInputStream; |
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import java.io.FileNotFoundException; |
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import java.io.InputStreamReader; |
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import java.io.Reader; |
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import java.io.UnsupportedEncodingException; |
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import java.net.URL; |
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import java.text.NumberFormat; |
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import java.util.ArrayList; |
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import javax.swing.JOptionPane; |
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import org.exolab.castor.xml.ValidationException; |
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import com.dielmo.gvsig.lidar.Strategies.LiDARStrategy; |
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import com.dielmo.gvsig.lidar.Strategies.LidarWatcher; |
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import com.dielmo.gvsig.lidar.drivers.LiDARDriver; |
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import com.hardcode.gdbms.engine.instruction.FieldNotFoundException; |
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import com.hardcode.gdbms.engine.values.ValueFactory; |
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import com.hardcode.gdbms.engine.values.ValueWriter; |
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import com.iver.andami.PluginServices; |
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import com.iver.andami.plugins.Extension; |
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import com.iver.andami.preferences.IPreference; |
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import com.iver.andami.preferences.IPreferenceExtension; |
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import com.iver.cit.gvsig.About; |
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import com.iver.cit.gvsig.fmap.DriverException; |
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import com.iver.cit.gvsig.fmap.MapContext; |
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import com.iver.cit.gvsig.fmap.core.FShape; |
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import com.iver.cit.gvsig.fmap.core.IGeometry; |
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import com.iver.cit.gvsig.fmap.core.v02.FSymbol; |
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import com.iver.cit.gvsig.fmap.drivers.DriverIOException; |
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import com.iver.cit.gvsig.fmap.layers.FLayer; |
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import com.iver.cit.gvsig.fmap.layers.FLayers; |
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import com.iver.cit.gvsig.fmap.layers.FLyrVect; |
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import com.iver.cit.gvsig.fmap.layers.LayerFactory; |
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import com.iver.cit.gvsig.fmap.layers.ReadableVectorial; |
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import com.iver.cit.gvsig.fmap.layers.SelectableDataSource; |
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import com.iver.cit.gvsig.fmap.layers.SingleLayerIterator; |
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import com.iver.cit.gvsig.fmap.layers.XMLException; |
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import com.iver.cit.gvsig.fmap.rendering.FInterval; |
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import com.iver.cit.gvsig.fmap.rendering.Legend; |
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import com.iver.cit.gvsig.fmap.rendering.LegendFactory; |
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import com.iver.cit.gvsig.fmap.rendering.SingleSymbolLegend; |
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import com.iver.cit.gvsig.fmap.rendering.VectorialIntervalLegend; |
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import com.iver.cit.gvsig.fmap.rendering.VectorialLegend; |
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import com.iver.cit.gvsig.fmap.rendering.VectorialUniqueValueLegend; |
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import com.iver.cit.gvsig.gui.panels.FPanelAbout; |
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import com.iver.cit.gvsig.project.documents.view.IProjectView; |
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import com.iver.cit.gvsig.project.documents.view.gui.View; |
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import com.iver.utiles.XMLEntity; |
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import com.iver.utiles.xml.XMLEncodingUtils; |
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import com.iver.utiles.xmlEntity.generate.XmlTag; |
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public class LidarExtension extends Extension implements IPreferenceExtension{ |
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private static final IPreference thePreferencePage = new Lidar_Preferences(); |
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public void initialize() { |
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LayerFactory.getDM().addDriver( |
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PluginServices.getPluginServices(this).getPluginDirectory()
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, LiDARDriver.driverName, LiDARDriver.class); |
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About about=(About)PluginServices.getExtension(About.class); |
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FPanelAbout panelAbout=about.getAboutPanel(); |
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java.net.URL aboutURL = getClass().getClassLoader().getResource("/about.html");
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panelAbout.addAboutUrl("DielmoOpenLidar",aboutURL);
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} |
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public void execute(String actionCommand) { |
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if(actionCommand.equalsIgnoreCase("Z_LEGEND")) { |
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zLegend(); |
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} |
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else if (actionCommand.equalsIgnoreCase("CLASIFICACION_LEGEND")) { |
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clasificationLegend(); |
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} |
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else if (actionCommand.equalsIgnoreCase("INTENSITY_LEGEND")) { |
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intensityLegend(); |
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} |
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else if (actionCommand.equalsIgnoreCase("PREFER_LEGEND")) { |
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PreferenceLegend(); |
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} |
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else if(actionCommand.equalsIgnoreCase("DEFAULT_LEGEND")) { |
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defaultLegend(); |
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} |
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return;
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} |
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/**
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* Aplica la leyenda por intervalos para el valor de la tabla intensidad
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*/
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private void intensityLegend() { |
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FilterByName("Intensity");
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} |
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/**
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* Aplica la leyenda por intervalos para el valor de la tabla z
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*/
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private void zLegend() { |
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FilterByName("Z");
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} |
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/**
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* Aplica la leyenda por defecto que aplicaria gvSIG, es decir, aplica
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* la leyenda para simbolos con colores aleatorios para cada capa.
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*/
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private void defaultLegend() { |
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// Cogemos todas las capas de la vista
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View vista = (View)PluginServices.getMDIManager().getActiveWindow(); |
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MapContext mapContext = vista.getModel().getMapContext(); |
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FLayers layers = mapContext.getLayers(); |
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mapContext.beginAtomicEvent(); |
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AplyDefaultLeyend(layers); |
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mapContext.endAtomicEvent(); |
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} |
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/**
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* Recorre todas las capas que contiene el FLayers de entrada
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* y le aplica la leyenda por defecto (colores aleatorios para cada capa)
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*
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* @param layers, capas en las que aplicaremos la leyenda
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*/
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private void AplyDefaultLeyend(FLayers layers) { |
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SingleSymbolLegend legend; |
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FSymbol s; |
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FLayer lyr; |
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SingleLayerIterator it = new SingleLayerIterator(layers);
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while (it.hasNext()) {
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lyr = it.next(); |
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if (LiDARDriver.isLidarLayer(lyr)) {
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try {
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FLyrVect lyrVect = (FLyrVect) lyr; |
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s = new FSymbol(FShape.POINT);
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s.setSize(5);
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legend = new SingleSymbolLegend(s);
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lyrVect.setLegend((VectorialLegend) legend); |
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} catch (FieldNotFoundException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} catch (DriverException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} |
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} |
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} // while
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} |
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/**
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* Aplica la leyenda predefinida en Preferencias->Preferencias Lidar
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*/
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private void PreferenceLegend() { |
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Legend legend = null;
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LiDAR_Mapping lm = new LiDAR_Mapping();
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String preferLegend = lm.getPathLegend();
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File file=new File(preferLegend); |
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if(!file.isFile())
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return;
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// Cogemos todas las capas de la vista
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View vista = (View)PluginServices.getMDIManager().getActiveWindow(); |
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MapContext mapContext = vista.getModel().getMapContext(); |
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FLayers layers = mapContext.getLayers(); |
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FLayer lyr; |
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if ((file.getPath().endsWith(".gvl") || file.getPath().endsWith(".GVL"))) { |
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legend = readLegend(file); |
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mapContext.beginAtomicEvent(); |
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SingleLayerIterator it = new SingleLayerIterator(layers);
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// le asignamos la leyenda a todas las capas lidar
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while (it.hasNext()) {
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lyr = it.next(); |
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if(LiDARDriver.isLidarLayer(lyr)){
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// clonar leyenda si falla
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aplyLegend(lyr,legend); |
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} |
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} |
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mapContext.endAtomicEvent(); |
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} |
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} |
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/**
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* Aplica la leyenda para las clasificaciones.
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*
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* La clasificacion se corresponde con la definicion que la especificacion
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* del LAS 1.1 se da sobre el tema. Por esta causa no se usa actualmente, ya
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* que cada lidar puede tener un tipo de clasificacion.
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*/
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private void clasificationLegend() { |
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String filtername = "Classification"; |
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VectorialUniqueValueLegend legend = null;
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FSymbol mySymbol; |
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// Cogemos todas las capas de la vista
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View vista = (View)PluginServices.getMDIManager().getActiveWindow(); |
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MapContext mapContext = vista.getModel().getMapContext(); |
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FLayers layers = mapContext.getLayers(); |
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FLyrVect lyr = null;
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int i;
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legend = LegendFactory.createVectorialUniqueValueLegend(FShape.POINT); |
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legend.clear(); |
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legend.setFieldName(filtername); |
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mySymbol = setSymbol(PluginServices.getText(null, "Class0"), new Color(0,0,0)); |
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legend.addSymbol(ValueFactory.createValue(0), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class1"), new Color(0,0,0)); |
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legend.addSymbol(ValueFactory.createValue(1), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class2"), new Color(153,0,0)); |
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legend.addSymbol(ValueFactory.createValue(2), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class3"), new Color(153,255,153)); |
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legend.addSymbol(ValueFactory.createValue(3), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class4"), new Color(0,204,0)); |
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legend.addSymbol(ValueFactory.createValue(4), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class5"), new Color(0,153,0)); |
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legend.addSymbol(ValueFactory.createValue(5), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class6"), new Color(255,0,0)); |
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legend.addSymbol(ValueFactory.createValue(6), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class7"), new Color(102,0,102)); |
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legend.addSymbol(ValueFactory.createValue(7), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class8"), new Color(255,0,204)); |
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legend.addSymbol(ValueFactory.createValue(8), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class9"), new Color(51,102,255)); |
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legend.addSymbol(ValueFactory.createValue(9), mySymbol);
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mySymbol = setSymbol(PluginServices.getText(null, "Class12"), new Color(153,255,204)); |
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legend.addSymbol(ValueFactory.createValue(12), mySymbol);
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// le asignamos la leyenda a todas las capas lidar
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for (i = 0; i < layers.getLayersCount(); i++) { |
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if (LiDARDriver.isLidarLayer(layers.getLayer(i))) {
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try {
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lyr = ((FLyrVect) layers.getLayer(i)); |
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VectorialUniqueValueLegend cloneLegend = (VectorialUniqueValueLegend) legend.cloneLegend(); |
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lyr.setLegend(cloneLegend); |
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} catch (FieldNotFoundException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} catch (DriverException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} catch (XMLException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} |
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} |
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} |
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} |
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/**
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* Aplica las leyendas a todas las capas del FLayers, incluida
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* las agrupaciones.
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*
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* @param layers capas a las que aplicarle la leyenda.
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* @param leyenda, leyenda a aplicar
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*/
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private void aplyLegend(FLayer layer, Legend leyenda) { |
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if (layer instanceof FLyrVect) { |
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try {
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FLyrVect lyrVect = (FLyrVect) layer; |
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lyrVect.setLegend((VectorialLegend) leyenda.cloneLegend()); |
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} catch (FieldNotFoundException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} catch (DriverException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} catch (XMLException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} |
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} |
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} |
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/**
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* Aplica la leyenda por intervalos del campo filtername pasado por entrada.
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*
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* @param filtername, campo por el que filtrar
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*/
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private void FilterByName(String filtername) { |
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int k;
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VectorialIntervalLegend legend = null;
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FInterval[] arrayIntervalos = null; |
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FSymbol myDefaultSymbol; |
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ReadableVectorial rvLidar; |
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SelectableDataSource ds; |
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int campo,LidarLayerCount=0; |
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long NumPointsByLayer, inc=1, j; |
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// double MaxValue=Double.NEGATIVE_INFINITY, MinValue=Double.MAX_VALUE;
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double mean = 0, desviacion = 0, value; |
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ArrayList muestras = new ArrayList(); |
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// Cogemos todas las capas de la vista
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View vista = (View)PluginServices.getMDIManager().getActiveWindow(); |
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MapContext mapContext = vista.getModel().getMapContext(); |
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FLayers layers = mapContext.getLayers(); |
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IGeometry geom; |
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Rectangle2D extentView = mapContext.getViewPort().getAdjustedExtent();
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Rectangle2D extentLayer;
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FLayer lyr = null;
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SingleLayerIterator it = new SingleLayerIterator(layers);
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// Calculamos el n?mero de capas que intersectan con la vista
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while (it.hasNext()) {
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lyr = it.next(); |
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if(LiDARDriver.isLidarLayer(lyr)){
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try {
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extentLayer = lyr.getFullExtent(); |
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if(extentLayer.intersects(extentView)){
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LidarLayerCount++; |
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} |
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}catch (DriverException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} |
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} |
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} |
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// si ninguna capa intersecta con el fullextent dejamos de operar
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if(LidarLayerCount == 0) |
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return;
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NumPointsByLayer = 5000 / LidarLayerCount;
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SingleLayerIterator it2 = new SingleLayerIterator(layers);
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// Cogemos los valores max y min del campo por el que se filtra de todas las capas.
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while (it2.hasNext()) {
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lyr = it2.next(); |
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if(LiDARDriver.isLidarLayer(lyr)){
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try {
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FLyrVect lyrVect; |
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lyrVect = ((FLyrVect) lyr); |
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rvLidar = lyrVect.getSource(); |
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rvLidar.start(); |
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ds = rvLidar.getRecordset(); |
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extentLayer = lyrVect.getFullExtent(); |
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if( extentLayer.intersects(extentView)) {
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// si el campo por el que se filtra es Z y ademas el fullextent de la capa
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// esta completamente denro de la vista, cogemos los valores Z de la cabecera
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// proporcionada por el driver que maneja la capa
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LiDARDriver ld = (LiDARDriver) rvLidar.getDriver(); |
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if(filtername.equals("Z") && ld != null && extentView.contains(extentLayer)) { |
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value = ld.getLidarHeader().getMinZ(); |
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muestras.add(new Double(value)); |
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value = ld.getLidarHeader().getMaxZ(); |
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muestras.add(new Double(value)); |
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} else {
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campo = ds.getFieldIndexByName(filtername); |
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inc = ds.getRowCount() / NumPointsByLayer; |
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if (inc < 1) |
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inc = 1;
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for (j=0 ; j<ds.getRowCount(); j+=inc) { |
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geom=rvLidar.getShape((int)j);
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// if (geom.intersects(extentView)) {
|
| 458 |
if (geom.fastIntersects(extentView.getMinX(), extentView.getMinY(), extentView.getWidth(), extentView.getHeight())) {
|
| 459 |
|
| 460 |
value=Double.parseDouble(ds.getFieldValue(j, campo).getStringValue(ValueWriter.internalValueWriter));
|
| 461 |
muestras.add(new Double(value)); |
| 462 |
} |
| 463 |
} |
| 464 |
} |
| 465 |
} |
| 466 |
|
| 467 |
rvLidar.stop(); |
| 468 |
|
| 469 |
} catch (DriverIOException e) {
|
| 470 |
// TODO Auto-generated catch block
|
| 471 |
e.printStackTrace(); |
| 472 |
} catch (DriverException e) {
|
| 473 |
// TODO Auto-generated catch block
|
| 474 |
e.printStackTrace(); |
| 475 |
} catch (com.hardcode.gdbms.engine.data.driver.DriverException e) {
|
| 476 |
// TODO Auto-generated catch block
|
| 477 |
e.printStackTrace(); |
| 478 |
} catch (RuntimeException e) { |
| 479 |
// TODO Auto-generated catch block
|
| 480 |
e.printStackTrace(); |
| 481 |
} |
| 482 |
} |
| 483 |
} |
| 484 |
|
| 485 |
// creamos la leyenda si tenemos valores por los que filtrar
|
| 486 |
if(muestras.size()>0){ |
| 487 |
|
| 488 |
// Creamos el primer y ?ltimo color.
|
| 489 |
Color startColor = new Color(20,20,20); //negro |
| 490 |
Color endColor = new Color(230,230,230); // gris claro |
| 491 |
|
| 492 |
//calculamos la media y la desviacion estandar de las muestras para calcular su leyenda
|
| 493 |
//entre la media +/- 2 veces la desviacion estandar.
|
| 494 |
for(k=0;k<muestras.size();k++){ |
| 495 |
|
| 496 |
value=((Double)(muestras.get(k))).doubleValue();
|
| 497 |
mean += value; |
| 498 |
} |
| 499 |
mean=mean/muestras.size(); |
| 500 |
for(k=0;k<muestras.size();k++){ |
| 501 |
|
| 502 |
value=((Double)(muestras.get(k))).doubleValue();
|
| 503 |
desviacion += Math.abs(value-mean);
|
| 504 |
} |
| 505 |
desviacion=desviacion/muestras.size(); |
| 506 |
|
| 507 |
if(filtername.equals("Intensity")){ |
| 508 |
double min = 0; |
| 509 |
if(mean-3*desviacion>0) |
| 510 |
min = mean-3*desviacion;
|
| 511 |
|
| 512 |
arrayIntervalos = calculateEqualIntervals(100, min, mean+3*desviacion, filtername); |
| 513 |
} else{
|
| 514 |
arrayIntervalos = calculateEqualIntervals(100, mean-3*desviacion, mean+3*desviacion, filtername); |
| 515 |
} |
| 516 |
|
| 517 |
NumberFormat.getInstance().setMaximumFractionDigits(2); |
| 518 |
|
| 519 |
int r;
|
| 520 |
int g;
|
| 521 |
int b;
|
| 522 |
int stepR;
|
| 523 |
int stepG;
|
| 524 |
int stepB;
|
| 525 |
r = startColor.getRed(); |
| 526 |
g = startColor.getGreen(); |
| 527 |
b = startColor.getBlue(); |
| 528 |
stepR = (endColor.getRed() - r) / arrayIntervalos.length; |
| 529 |
stepG = (endColor.getGreen() - g) / arrayIntervalos.length; |
| 530 |
stepB = (endColor.getBlue() - b) / arrayIntervalos.length; |
| 531 |
|
| 532 |
legend = LegendFactory.createVectorialIntervalLegend(FShape.POINT); |
| 533 |
legend.clear(); |
| 534 |
legend.useDefaultSymbol(true);
|
| 535 |
legend.setFieldName(filtername); |
| 536 |
for (k = 0; k < arrayIntervalos.length; k++) { |
| 537 |
FInterval elIntervalo = arrayIntervalos[k]; |
| 538 |
|
| 539 |
Color c = new Color(r, g, b); |
| 540 |
//si no esta creado el simbolo se crea
|
| 541 |
myDefaultSymbol = new FSymbol(FShape.POINT, c);
|
| 542 |
myDefaultSymbol.setDescription(NumberFormat.getInstance().format(elIntervalo.getMin()) +
|
| 543 |
" - " +
|
| 544 |
NumberFormat.getInstance().format(elIntervalo.getMax()));
|
| 545 |
myDefaultSymbol.setSize(3);
|
| 546 |
myDefaultSymbol.setSizeInPixels(true);
|
| 547 |
|
| 548 |
//////////////////////////////////////
|
| 549 |
// CALCULAMOS UN COLOR APROPIADO
|
| 550 |
r = r + stepR; |
| 551 |
g = g + stepG; |
| 552 |
b = b + stepB; |
| 553 |
|
| 554 |
/////////////////////////////////
|
| 555 |
legend.addSymbol(elIntervalo, myDefaultSymbol); |
| 556 |
} |
| 557 |
|
| 558 |
// le asignamos la leyenda a todas las capas lidar
|
| 559 |
SingleLayerIterator it3 = new SingleLayerIterator(layers);
|
| 560 |
|
| 561 |
mapContext.beginAtomicEvent(); |
| 562 |
// le asignamos la leyenda a todas las capas lidar
|
| 563 |
while (it3.hasNext()) {
|
| 564 |
|
| 565 |
lyr = it3.next(); |
| 566 |
if(LiDARDriver.isLidarLayer(lyr)){
|
| 567 |
aplyLegend(lyr,legend); |
| 568 |
} |
| 569 |
} |
| 570 |
mapContext.endAtomicEvent(); |
| 571 |
|
| 572 |
} else {
|
| 573 |
// si el zoom es demasiado grande como para calcular una leyenda en condiciones informamos de ello
|
| 574 |
JOptionPane.showMessageDialog(null,PluginServices.getText(this, "zoomInadecuado")); |
| 575 |
} |
| 576 |
} |
| 577 |
|
| 578 |
/**
|
| 579 |
* NATURAL INTERVAL Devuelve un Array con el n?mero de intervalos que se
|
| 580 |
* quieren crear. Los intervalos se distribuyen de forma natural.
|
| 581 |
*
|
| 582 |
* @param numIntervals n?mero de intervalos
|
| 583 |
* @param minValue Valor m?nimo.
|
| 584 |
* @param maxValue Valor m?ximo.
|
| 585 |
* @param fieldName Nombre del campo
|
| 586 |
*
|
| 587 |
* @return Array con los intervalos.
|
| 588 |
*/
|
| 589 |
FInterval[] calculateNaturalIntervals(int numIntervals, double minValue, |
| 590 |
double maxValue, String fieldName) { |
| 591 |
|
| 592 |
int i;
|
| 593 |
int step = (int)((maxValue-minValue)/numIntervals); |
| 594 |
while(step<1){ |
| 595 |
maxValue++; |
| 596 |
minValue--; |
| 597 |
step = (int)((maxValue-minValue)/numIntervals);
|
| 598 |
} |
| 599 |
|
| 600 |
FInterval[] theIntervalArray;
|
| 601 |
|
| 602 |
if (numIntervals > 1) { |
| 603 |
theIntervalArray = new FInterval[numIntervals];
|
| 604 |
theIntervalArray[0] = new FInterval((int)minValue,(int)(minValue+step)); |
| 605 |
|
| 606 |
for ( i = 1; i < (numIntervals - 1); i++) { |
| 607 |
theIntervalArray[i] = new FInterval((int)(minValue+i*step),(int)(minValue+(i+1)*step)); |
| 608 |
} |
| 609 |
theIntervalArray[numIntervals - 1] = new FInterval((int)(minValue+i*step), (int)maxValue); |
| 610 |
} else {
|
| 611 |
theIntervalArray = new FInterval[1]; |
| 612 |
theIntervalArray[0] = new FInterval((int)minValue,(int)maxValue); |
| 613 |
} |
| 614 |
|
| 615 |
return theIntervalArray;
|
| 616 |
} |
| 617 |
|
| 618 |
/**
|
| 619 |
* EQUAL INTERVAL Devuelve un Array con el n?mero de intervalos que se
|
| 620 |
* quieren crear. Los intervalos se crean con un tama?o igual entre ellos.
|
| 621 |
*
|
| 622 |
* @param numIntervals n?mero de intervalos
|
| 623 |
* @param minValue Valor m?nimo.
|
| 624 |
* @param maxValue Valor m?ximo.
|
| 625 |
* @param fieldName Nombre del campo
|
| 626 |
*
|
| 627 |
* @return Array con los intervalos.
|
| 628 |
* @see com.iver.cit.gvsig.project.documents.view.legend.gui;
|
| 629 |
*/
|
| 630 |
public static FInterval[] calculateEqualIntervals(int numIntervals, double minValue, |
| 631 |
double maxValue, String fieldName) { |
| 632 |
|
| 633 |
FInterval[] theIntervalArray = new FInterval[numIntervals]; |
| 634 |
double step = (maxValue - minValue) / numIntervals;
|
| 635 |
|
| 636 |
if (numIntervals > 1) { |
| 637 |
theIntervalArray[0] = new FInterval(Integer.MIN_VALUE+3, minValue + step); |
| 638 |
|
| 639 |
for (int i = 1; i < (numIntervals - 1); i++) { |
| 640 |
theIntervalArray[i] = new FInterval(minValue + (i * step), minValue + ((i + 1) * step)); |
| 641 |
} |
| 642 |
|
| 643 |
theIntervalArray[numIntervals - 1] = new FInterval(minValue + |
| 644 |
((numIntervals - 1) * step), Integer.MAX_VALUE); |
| 645 |
} else {
|
| 646 |
theIntervalArray[0] = new FInterval(minValue, maxValue); |
| 647 |
} |
| 648 |
|
| 649 |
return theIntervalArray;
|
| 650 |
} |
| 651 |
|
| 652 |
/**
|
| 653 |
* Set a new Symbol with a name and color.
|
| 654 |
*
|
| 655 |
* @param nameSymbol name of symbol
|
| 656 |
* @param c color of symbol
|
| 657 |
* @return the symbol with name and color predefined
|
| 658 |
*/
|
| 659 |
private FSymbol setSymbol(String nameSymbol, Color c) { |
| 660 |
|
| 661 |
FSymbol mySymbol; |
| 662 |
mySymbol = new FSymbol(FShape.POINT, c);
|
| 663 |
|
| 664 |
mySymbol.setDescription(nameSymbol); |
| 665 |
mySymbol.setSize(3);
|
| 666 |
mySymbol.setSizeInPixels(true);
|
| 667 |
|
| 668 |
return mySymbol;
|
| 669 |
} |
| 670 |
|
| 671 |
public boolean isEnabled() { |
| 672 |
com.iver.andami.ui.mdiManager.IWindow f = PluginServices.getMDIManager() |
| 673 |
.getActiveWindow(); |
| 674 |
if (f == null) { |
| 675 |
return false; |
| 676 |
} |
| 677 |
if (f instanceof View) { |
| 678 |
View vista = (View) f; |
| 679 |
IProjectView model = vista.getModel(); |
| 680 |
FLayers layers = model.getMapContext().getLayers(); |
| 681 |
|
| 682 |
FLayer lyr; |
| 683 |
SingleLayerIterator it = new SingleLayerIterator(layers);
|
| 684 |
// comprobamos si hay capas lidar
|
| 685 |
while (it.hasNext()) {
|
| 686 |
|
| 687 |
lyr = it.next(); |
| 688 |
if(LiDARDriver.isLidarLayer(lyr) && lyr.isAvailable()){
|
| 689 |
return true; |
| 690 |
} |
| 691 |
} |
| 692 |
|
| 693 |
} |
| 694 |
return false; |
| 695 |
} |
| 696 |
|
| 697 |
public boolean isVisible() { |
| 698 |
|
| 699 |
|
| 700 |
com.iver.andami.ui.mdiManager.IWindow f = PluginServices.getMDIManager() |
| 701 |
.getActiveWindow(); |
| 702 |
if (f == null) { |
| 703 |
return false; |
| 704 |
} |
| 705 |
|
| 706 |
if (f instanceof View) { |
| 707 |
|
| 708 |
View vista = (View) f; |
| 709 |
IProjectView model = vista.getModel(); |
| 710 |
|
| 711 |
FLayers layers = model.getMapContext().getLayers(); |
| 712 |
|
| 713 |
// asignar la estrategia Lidar a las nuevas capas
|
| 714 |
setLidarListener(model.getMapContext()); |
| 715 |
setLidarListener(model.getMapOverViewContext()); |
| 716 |
|
| 717 |
|
| 718 |
FLayer lyr; |
| 719 |
SingleLayerIterator it = new SingleLayerIterator(layers);
|
| 720 |
|
| 721 |
// comprobamos si hay capas lidar
|
| 722 |
while (it.hasNext()) {
|
| 723 |
|
| 724 |
lyr = it.next(); |
| 725 |
if(LiDARDriver.isLidarLayer(lyr) && lyr.isAvailable()){
|
| 726 |
return true; |
| 727 |
} |
| 728 |
} |
| 729 |
} |
| 730 |
|
| 731 |
return false; |
| 732 |
} |
| 733 |
|
| 734 |
/**
|
| 735 |
* Nos registramos como escucha de los mapcontext del MapOverview
|
| 736 |
* y del MapControl para que nos avisen cuando se a?ade una capa.
|
| 737 |
* Si es de tipo Lidar, le cambiamos la estregia.
|
| 738 |
* @param vista
|
| 739 |
*/
|
| 740 |
private void setLidarListener(MapContext mapContext) { |
| 741 |
|
| 742 |
FLayers layers = mapContext.getLayers(); |
| 743 |
FLayer lyr; |
| 744 |
SingleLayerIterator it = new SingleLayerIterator(layers);
|
| 745 |
LiDAR_Mapping map = new LiDAR_Mapping();
|
| 746 |
int grosor = map.getSizePixel();
|
| 747 |
|
| 748 |
// comprobamos si hay capas lidar
|
| 749 |
while (it.hasNext()) {
|
| 750 |
|
| 751 |
lyr = it.next(); |
| 752 |
if(LiDARDriver.isLidarLayer(lyr) && lyr.isAvailable()){
|
| 753 |
FLyrVect lyrVect = (FLyrVect) lyr; |
| 754 |
|
| 755 |
|
| 756 |
if (lyrVect.getStrategy() != null) { |
| 757 |
|
| 758 |
// si hay una esrategia que no es Lidar la cambiamos
|
| 759 |
if (!(lyrVect.getStrategy() instanceof LiDARStrategy)) { |
| 760 |
LiDARStrategy lidarStrategy = new LiDARStrategy(lyrVect,grosor);
|
| 761 |
lyrVect.setStrategy(lidarStrategy); |
| 762 |
} |
| 763 |
|
| 764 |
} else {
|
| 765 |
// si no hay ninguna estrategia definida la asignamos la estrategia Lidar
|
| 766 |
LiDARStrategy lidarStrategy = new LiDARStrategy(lyrVect,grosor);
|
| 767 |
lyrVect.setStrategy(lidarStrategy); |
| 768 |
} |
| 769 |
} |
| 770 |
} |
| 771 |
|
| 772 |
layers.addLayerCollectionListener(LidarWatcher.getInstance()); |
| 773 |
} |
| 774 |
|
| 775 |
/**
|
| 776 |
* Lee la leyenda del fichero file y devuelve la leyenda cargada.
|
| 777 |
*
|
| 778 |
* @param file, fichero donde buscar la leyenda
|
| 779 |
* @return la leyenda leida.
|
| 780 |
*/
|
| 781 |
public Legend readLegend(File file) { |
| 782 |
|
| 783 |
Legend renderer = null;
|
| 784 |
File xmlFile = new File(file.getAbsolutePath()); |
| 785 |
try {
|
| 786 |
String encoding = XMLEncodingUtils.getEncoding(new FileInputStream(xmlFile)); |
| 787 |
InputStreamReader reader=null; |
| 788 |
if (encoding!=null) { |
| 789 |
try {
|
| 790 |
reader = new InputStreamReader(new FileInputStream(xmlFile), encoding); |
| 791 |
renderer= readLegend(reader, true);
|
| 792 |
} catch (UnsupportedEncodingException e) { |
| 793 |
reader = new InputStreamReader(new FileInputStream(xmlFile),"ISO-8859-1"); |
| 794 |
try {
|
| 795 |
renderer= readLegend(reader, false);
|
| 796 |
} catch (UnsupportedEncodingException e1) { |
| 797 |
JOptionPane.showMessageDialog((Component)PluginServices.getMainFrame(),PluginServices.getText(this, e1.getLocalizedMessage())); |
| 798 |
return null; |
| 799 |
} |
| 800 |
} |
| 801 |
} |
| 802 |
else {
|
| 803 |
reader = new InputStreamReader(new FileInputStream(xmlFile),"UTF-8"); |
| 804 |
try {
|
| 805 |
renderer= readLegend(reader, false);
|
| 806 |
} catch (UnsupportedEncodingException e1) { |
| 807 |
JOptionPane.showMessageDialog((Component)PluginServices.getMainFrame(),PluginServices.getText(this, e1.getLocalizedMessage())); |
| 808 |
return null; |
| 809 |
} |
| 810 |
} |
| 811 |
} catch (FileNotFoundException e) { |
| 812 |
JOptionPane.showMessageDialog((Component)PluginServices.getMainFrame(),PluginServices.getText(this, "fichero_incorrecto")); |
| 813 |
return null; |
| 814 |
} catch (UnsupportedEncodingException e) { |
| 815 |
e.printStackTrace(); |
| 816 |
} |
| 817 |
|
| 818 |
return renderer;
|
| 819 |
} |
| 820 |
public Legend readLegend(Reader reader, boolean encodingFollowed) throws UnsupportedEncodingException { |
| 821 |
Legend legend = null;
|
| 822 |
|
| 823 |
try {
|
| 824 |
XmlTag tag = (XmlTag) XmlTag.unmarshal(reader); |
| 825 |
XMLEntity xml=new XMLEntity(tag);
|
| 826 |
if (encodingFollowed) {
|
| 827 |
if (xml.contains("followHeaderEncoding")) { |
| 828 |
boolean useEncoding = xml.getBooleanProperty("followHeaderEncoding"); |
| 829 |
if (!useEncoding) {
|
| 830 |
throw new UnsupportedEncodingException("the encoding specified in the xml header is not safe"); |
| 831 |
} |
| 832 |
} |
| 833 |
else {
|
| 834 |
// Old projects didn't contain followHeaderEncoding and they were
|
| 835 |
// not correctly encoded. We throw an exception now, and we'll try
|
| 836 |
// to reopen the project
|
| 837 |
// using the default system encoding.
|
| 838 |
throw new UnsupportedEncodingException("the encoding specified in the xml header is not safe"); |
| 839 |
} |
| 840 |
} |
| 841 |
|
| 842 |
legend = LegendFactory.createFromXML(xml); |
| 843 |
return legend;
|
| 844 |
} catch (ValidationException e) {
|
| 845 |
PluginServices.getLogger().error(PluginServices.getText(this, "formato_incorrecto"),e); |
| 846 |
JOptionPane.showMessageDialog((Component)PluginServices.getMainFrame(),PluginServices.getText(this, "formato_incorrecto")); |
| 847 |
//NotificationManager.addError("Al leer el proyecto", e);
|
| 848 |
} catch (XMLException e) {
|
| 849 |
PluginServices.getLogger().error(PluginServices.getText(this, "formato_incorrecto"),e); |
| 850 |
JOptionPane.showMessageDialog((Component)PluginServices.getMainFrame(),PluginServices.getText(this, "formato_incorrecto")); |
| 851 |
//NotificationManager.addError("Al leer el proyecto", e);
|
| 852 |
} catch (org.exolab.castor.xml.MarshalException e) {
|
| 853 |
// TODO Auto-generated catch block
|
| 854 |
e.printStackTrace(); |
| 855 |
} |
| 856 |
return null; |
| 857 |
} |
| 858 |
|
| 859 |
/**
|
| 860 |
* Usada para recuperar las preferencias Lidar
|
| 861 |
*/
|
| 862 |
public IPreference getPreferencesPage() {
|
| 863 |
return thePreferencePage;
|
| 864 |
} |
| 865 |
} |