svn-gvsig-desktop / branches / org.gvsig.desktop-2018a / org.gvsig.desktop.library / org.gvsig.raster / org.gvsig.raster.lib / org.gvsig.raster.lib.buffer.impl / src / main / java / org / gvsig / raster / lib / buffer / impl / operations / convolution / ConvolutionOperation.java @ 43864
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/* gvSIG. Desktop Geographic Information System.
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*
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* Copyright ? 2007-2017 gvSIG Association
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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 any additional information, do not hesitate to contact us
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* at info AT gvsig.com, or visit our website www.gvsig.com.
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*/
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package org.gvsig.raster.lib.buffer.impl.operations.convolution; |
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import java.util.ArrayList; |
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import java.util.Iterator; |
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import java.util.List; |
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import org.gvsig.fmap.geom.exception.CreateEnvelopeException; |
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import org.gvsig.raster.lib.buffer.api.Band; |
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import org.gvsig.raster.lib.buffer.api.BufferLocator; |
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import org.gvsig.raster.lib.buffer.api.BufferManager; |
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import org.gvsig.raster.lib.buffer.api.Kernel; |
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import org.gvsig.raster.lib.buffer.api.NoData; |
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import org.gvsig.raster.lib.buffer.api.exceptions.BandException; |
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import org.gvsig.raster.lib.buffer.api.exceptions.BufferException; |
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import org.gvsig.raster.lib.buffer.api.exceptions.BufferOperationException; |
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import org.gvsig.raster.lib.buffer.api.operations.OperationFactory; |
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import org.gvsig.raster.lib.buffer.spi.exceptions.ProcessingOperationException; |
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import org.gvsig.raster.lib.buffer.spi.operations.AbstractSpecifiedBandsOperation; |
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import org.gvsig.tools.locator.LocatorException; |
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/**
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* @author fdiaz
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*
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*/
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public class ConvolutionOperation extends AbstractSpecifiedBandsOperation{ |
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static final public String AVERAGE_OPERATOR_STRING= "AVERAGE"; |
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static final public String LOW_PASS_OPERATOR_STRING= "LOW_PASS"; |
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static final public String HIGH_PASS_OPERATOR_STRING= "HIGH_PASS"; |
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static final public String GAUSS_OPERATOR_STRING= "GAUSS"; |
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static final public String CUSTOM_OPERATOR_STRING= "CUSTOM"; |
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static public String OPERATOR_PARAM = "operator"; |
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static public String CUSTOM_KERNEL_PARAM = "custom_kernel"; |
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static public String SHARPNESS_PARAM = "sharpness"; |
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static public String SIDE_WINDOW_PARAM = "side_window"; |
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private String operator; |
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private int sideWindow; |
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private int halfSideWindow; |
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private double sharpness; |
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private RowProcessor[] rowProcessors; |
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private Kernel kernelOperator; |
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// Kernels:------------------------------------------
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static final double gauss3x3[][] = {{1,4,1},{4,12,4},{1,4,1}}; |
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static final double gauss5x5[][] = {{1,2,3,2,1},{2,7,11,7,2},{3,11,17,11,3},{2,7,11,7,2},{1,2,3,2,1}}; |
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static final double gauss7x7[][] = {{1,1,2,2,2,1,1},{1,2,2,4,2,2,1},{2,2,4,8,4,2,2},{2,4,8,16,8,4,2},{2,2,4,8,4,2,2},{1,2,2,4,2,2,1},{1,1,2,2,2,1,1}}; |
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static final double gauss7x7aux[][] = {{0,0,0.0003,0.0006,0.0003,0,0},{0,0.0011,0.0079,0.0153,0.0079,0.0011,0},{0.0003,0.0079,0.0563,0.1082,0.0563,0.0079,0.0003},{0.0006,0.0153,0.1082,0.2079,0.1082,0.0153,0.0006},{0.0003,0.0079,0.0563,0.1082,0.0563,0.0079,0.0003},{0,0.0011,0.0079,0.0153,0.0079,0.0011,0},{0,0,0.0003,0.0006,0.0003,0,0}}; |
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static final double lowpass3x3[][] = {{0,1,0},{1,6,1},{0,1,0}}; |
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static final double lowpass5x5[][] = {{1,1,1,1,1},{1,4,4,4,1},{1,4,12,4,1},{1,4,4,4,1},{1,1,1,1,1}}; |
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static final double media3x3[][] = {{1,1,1},{1,1,1},{1,1,1}}; |
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static final double media5x5[][] = {{1,1,1,1,1},{1,1,1,1,1},{1,1,1,1,1},{1,1,1,1,1},{1,1,1,1,1}}; |
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static final double media7x7[][] = {{1,1,1,1,1,1,1},{1,1,1,1,1,1,1},{1,1,1,1,1,1,1},{1,1,1,1,1,1,1},{1,1,1,1,1,1,1},{1,1,1,1,1,1,1},{1,1,1,1,1,1,1}}; |
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static final double highpass3x3[][] = {{-1,-1,-1},{-1,9,-1},{-1,-1,-1}}; |
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/**
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* @param factory
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*
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*/
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public ConvolutionOperation(OperationFactory factory) {
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super(factory);
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} |
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@Override
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public void preProcess() throws BufferOperationException { |
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super.preProcess();
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BufferManager manager = BufferLocator.getBufferManager(); |
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sideWindow = (int) this.getParameter(SIDE_WINDOW_PARAM, 3); |
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halfSideWindow = (int)(sideWindow/2); |
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sharpness = (double) this.getParameter(SHARPNESS_PARAM, 0); |
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operator = (String) this.getParameter(OPERATOR_PARAM, AVERAGE_OPERATOR_STRING); |
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switch (operator) {
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case AVERAGE_OPERATOR_STRING:
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switch (sideWindow) {
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case 3: |
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kernelOperator = manager.createKernel(media3x3,9);
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break;
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case 5: |
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kernelOperator = manager.createKernel(media5x5,25);
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break;
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case 7: |
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kernelOperator = manager.createKernel(media7x7,49);
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break;
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default:
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throw new IllegalArgumentException("Kernel side isn't valid for the selected operator."); |
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} |
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break;
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case LOW_PASS_OPERATOR_STRING:
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switch (sideWindow) {
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case 3: |
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kernelOperator = manager.createKernel(lowpass3x3,10);
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break;
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case 5: |
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kernelOperator = manager.createKernel(lowpass5x5); |
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break;
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default:
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throw new IllegalArgumentException("Kernel side isn't valid for the selected operator."); |
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} |
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break;
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case HIGH_PASS_OPERATOR_STRING:
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switch (sideWindow) {
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case 3: |
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double[][] h = new double[3][3]; |
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for (int i = 0; i < h.length; i++) { |
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for (int j = 0; j < h[i].length; j++) { |
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h[i][j] = highpass3x3[i][j]; |
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} |
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} |
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h[1][1] = 29 - (sharpness * 20.9) / 100; |
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kernelOperator = manager.createKernel(h); |
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break;
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default:
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throw new IllegalArgumentException("Kernel side isn't valid for the selected operator."); |
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} |
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break;
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case GAUSS_OPERATOR_STRING:
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switch (sideWindow) {
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case 3: |
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kernelOperator = manager.createKernel(gauss3x3,34);
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break;
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case 5: |
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kernelOperator = manager.createKernel(gauss5x5,121);
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break;
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case 7: |
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kernelOperator = manager.createKernel(gauss7x7aux); |
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break;
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default:
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throw new IllegalArgumentException("Kernel side isn't valid for the selected operator."); |
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} |
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break;
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case CUSTOM_OPERATOR_STRING:
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kernelOperator = (Kernel) this.getParameter(CUSTOM_KERNEL_PARAM, null); |
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if(kernelOperator==null) { |
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throw new IllegalArgumentException("A Kernel is needed for the selected operator."); |
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}; |
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if( kernelOperator.getSide()!=sideWindow){
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throw new IllegalArgumentException("Kernel side incorrect."); |
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}; |
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break;
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} |
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int bands = this.getInputBuffer().getBandCount(); |
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NoData[] noData = this.getInputBuffer().getBandNoData(); |
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if (mustCopyUnprocessedBands()) {
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try {
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this.setOutputBuffer(
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manager.createBuffer( |
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this.getInputBuffer().getRows(),
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this.getInputBuffer().getColumns(),
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this.getInputBuffer().getBandTypes(),
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this.getInputBuffer().getBandNoData(),
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this.getInputBuffer().getProjection(),
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this.getInputBuffer().getEnvelope()));
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} catch (LocatorException | BufferException | CreateEnvelopeException e) {
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throw new ProcessingOperationException(e); |
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} |
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} else {
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try {
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this.setOutputBuffer(
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manager.createBuffer( |
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this.getInputBuffer().getRows(),
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this.getInputBuffer().getColumns(),
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this.getProcessableBandTypesAsArray(),
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this.getProcessableBandNoDatasAsArray(),
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this.getInputBuffer().getProjection(),
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this.getInputBuffer().getEnvelope()));
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} catch (LocatorException | BufferException | CreateEnvelopeException e) {
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throw new ProcessingOperationException(e); |
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} |
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} |
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rowProcessors = new RowProcessor[bands];
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for (int band = 0; band < noData.length; band++) { |
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if (isProcessableBand(band)) {
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int bandType = this.getInputBuffer().getBand(band).getDataType(); |
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switch (bandType) {
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case BufferManager.TYPE_BYTE:
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rowProcessors[band] = new ByteRowProcessor(band);
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break;
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case BufferManager.TYPE_USHORT:
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rowProcessors[band] = new UShortRowProcessor(band);
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break;
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case BufferManager.TYPE_SHORT:
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rowProcessors[band] = new ShortRowProcessor(band);
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break;
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case BufferManager.TYPE_INT:
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rowProcessors[band] = new IntRowProcessor(band);
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break;
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case BufferManager.TYPE_FLOAT:
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rowProcessors[band] = new FloatRowProcessor(band);
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break;
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case BufferManager.TYPE_DOUBLE:
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rowProcessors[band] = new DoubleRowProcessor(band);
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break;
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default:
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throw new IllegalArgumentException("Unknow type of band '" + band + "'"); |
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} |
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} |
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} |
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} |
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@Override
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public void process() throws ProcessingOperationException { |
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super.process();
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for (int band=0; band<this.getInputBuffer().getBandCount(); band++){ |
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if (getBandsToProcess().contains(band)) {
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Band bufferBand = this.getInputBuffer().getBand(band);
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Band outputBufferBand = this.getOutputBuffer().getBand(band);
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for (int row = 0; row < this.getInputBuffer().getRows(); row++) { |
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Object rowBuffer = bufferBand.createRowBuffer();
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bufferBand.fetchRow(row, rowBuffer); |
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List<Object> bundle = new ArrayList<>(); |
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//FIXME: Solo se procesan aquellas filas en las que se pueden crear kernels, el resto ?qu? hacer? (ver abajo)
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if ((row - halfSideWindow >= 0) && (row + halfSideWindow < this.getInputBuffer().getRows())) { |
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for (int r = Math.max(row - halfSideWindow, 0); r <= Math.min(row + halfSideWindow, |
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this.getInputBuffer().getRows()-1); r++) { |
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Object bundleRow = bufferBand.createRowBuffer();
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bufferBand.fetchRow(r, bundleRow); |
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bundle.add(bundleRow); |
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} |
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Object outputRowBuffer = outputBufferBand.createRowBuffer();
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// outputBufferBand.fetchRow(row, outputRowBuffer);
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rowProcessors[band].processRow(rowBuffer, bundle, outputRowBuffer); |
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outputBufferBand.putRow(row, outputRowBuffer); |
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} else {
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// FIXME: Si son de tipo BYTE, las copio, si no, no hacemos nada
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if(this.getInputBuffer().getBandTypes()[band]==BufferManager.TYPE_BYTE){ |
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outputBufferBand.putRow(row, rowBuffer); |
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} |
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} |
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} |
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} else {
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if(mustCopyUnprocessedBands()){
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try {
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this.getOutputBuffer().getBand(band).copyFrom(this.getInputBuffer().getBand(band)); |
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} catch (BandException e) {
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throw new ProcessingOperationException(e); |
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} |
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} |
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} |
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} |
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} |
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@Override
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public void postProcess() throws BufferOperationException { |
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super.postProcess();
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} |
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interface RowProcessor { |
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void processRow(Object inputRow, List<Object> bundleRow, Object outputRow); |
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Number processValue(Kernel kernel); |
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}; |
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private abstract class AbstractRowProcessor implements RowProcessor { |
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int band;
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NoData noData; |
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public AbstractRowProcessor(int band) { |
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this.band = band;
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noData = getInputBuffer().getBand(band).getNoData(); |
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} |
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@Override
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public Number processValue(Kernel kernel) { |
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double resultConvolution = kernelOperator.convolution(kernel);
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if (resultConvolution > 255) { |
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resultConvolution = 255;
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} else if (resultConvolution < 0) { |
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resultConvolution = 0;
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} |
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return (byte)(resultConvolution); |
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} |
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} |
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private class ByteRowProcessor extends AbstractRowProcessor { |
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public ByteRowProcessor(int band) { |
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super(band);
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} |
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@Override
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public void processRow(Object inputRow, List<Object> bundleRow, Object outputRow) { |
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byte[] inputByteRow = (byte[])inputRow; |
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byte[] outputByteRow = (byte[])outputRow; |
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for (int i = 0; i < inputByteRow.length; i++) { |
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// FIXME: Solo se procesan aquellas columnas en las que se pueden crear kernels, el resto ?se copian?
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if ((i - halfSideWindow >= 0) && (i + halfSideWindow < inputByteRow.length)) { |
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double[][] k = new double[sideWindow][sideWindow]; |
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int r=0; |
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for (Iterator<Object> iterator = bundleRow.iterator(); iterator.hasNext();) { |
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int c=0; |
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byte[] row = (byte[]) iterator.next(); |
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for (int column = Math.max(i - halfSideWindow, 0); column <= Math.min(i + halfSideWindow, |
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inputByteRow.length-1); column++) {
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byte value = ((Byte) row[column]); |
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if (noData.isDefined() && noData.getValue().equals(value)) {
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//FIXME: Si es noData, deber?a no influir en el resultado
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// ?Que valor poner en el kernel?
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k[r][c] = 0;
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} else {
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k[r][c] = (double)(0xFF & value); |
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} |
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c++; |
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} |
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r++; |
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} |
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Kernel kernel = BufferLocator.getBufferManager().createKernel(k);
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if(noData.isDefined() && noData.getValue().equals(inputByteRow[i])){
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outputByteRow[i] = inputByteRow[i]; |
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} else {
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outputByteRow[i] = processValue(kernel).byteValue(); |
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} |
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} else {
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outputByteRow[i] = inputByteRow[i]; |
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} |
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} |
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} |
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} |
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private class ShortRowProcessor extends AbstractRowProcessor { |
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public ShortRowProcessor(int band) { |
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super(band);
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} |
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@Override
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public void processRow(Object inputRow, List<Object> bundleRow, Object outputRow) { |
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Number[] inputShortRow = (Number[])inputRow; |
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byte[] outputByteRow = (byte[])outputRow; |
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for (int i = 0; i < inputShortRow.length; i++) { |
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//Solo se procesan aquellas columnas en las que se pueden crear kernels, el resto se copian
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if ((i - halfSideWindow >= 0) && (i + halfSideWindow < inputShortRow.length)) { |
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double[][] k = new double[sideWindow][sideWindow]; |
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int r=0; |
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int c=0; |
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for (Iterator<Object> iterator = bundleRow.iterator(); iterator.hasNext();) { |
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short[] row = (short[]) iterator.next(); |
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for (int column = Math.max(i - halfSideWindow, 0); column <= Math.min(i + halfSideWindow, |
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inputShortRow.length-1); column++) {
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double value = ((Short) row[c]); |
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if (noData.isDefined() && noData.getValue().equals(value)) {
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//FIXME: Si es noData, deber?a no influir en el resultado
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// ?Que valor poner en el kernel?
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k[r][c] = 0;
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} else {
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k[r][c] = value; |
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} |
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} |
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} |
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Kernel kernel = BufferLocator.getBufferManager().createKernel(k);
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outputByteRow[i] = processValue(kernel).byteValue(); |
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} else {
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outputByteRow[i] = ((Short)inputShortRow[i]).byteValue();
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} |
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} |
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} |
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} |
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private class UShortRowProcessor extends AbstractRowProcessor { |
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public UShortRowProcessor(int band) { |
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super(band);
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} |
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@Override
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public void processRow(Object inputRow, List<Object> bundleRow, Object outputRow) { |
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Number[] inputShortRow = (Number[]) inputRow; |
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byte[] outputByteRow = (byte[]) outputRow; |
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for (int i = 0; i < inputShortRow.length; i++) { |
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// Solo se procesan aquellas columnas en las que se pueden crear
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// kernels, el resto se copian
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if ((i - halfSideWindow >= 0) && (i + halfSideWindow < inputShortRow.length)) { |
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double[][] k = new double[sideWindow][sideWindow]; |
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int r = 0; |
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int c = 0; |
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for (Iterator<Object> iterator = bundleRow.iterator(); iterator.hasNext();) { |
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short[] row = (short[]) iterator.next(); |
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for (int column = Math.max(i - halfSideWindow, 0); column <= Math.min(i + halfSideWindow, |
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inputShortRow.length-1); column++) {
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double value = 0xFFFF & ((Short) row[c]); |
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if (noData.isDefined() && noData.getValue().equals(value)) {
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// FIXME: Si es noData, deber?a no influir en el
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// resultado
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// ?Que valor poner en el kernel?
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k[r][c] = 0;
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} else {
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k[r][c] = value; |
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} |
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} |
| 426 |
} |
| 427 |
Kernel kernel = BufferLocator.getBufferManager().createKernel(k);
|
| 428 |
outputByteRow[i] = processValue(kernel).byteValue(); |
| 429 |
} else {
|
| 430 |
outputByteRow[i] = ((Short) inputShortRow[i]).byteValue();
|
| 431 |
} |
| 432 |
} |
| 433 |
} |
| 434 |
} |
| 435 |
|
| 436 |
private class IntRowProcessor extends AbstractRowProcessor { |
| 437 |
|
| 438 |
|
| 439 |
public IntRowProcessor(int band) { |
| 440 |
super(band);
|
| 441 |
} |
| 442 |
|
| 443 |
@Override
|
| 444 |
public void processRow(Object inputRow, List<Object> bundleRow, Object outputRow) { |
| 445 |
Number[] inputIntRow = (Number[])inputRow; |
| 446 |
byte[] outputByteRow = (byte[]) outputRow; |
| 447 |
for (int i = 0; i < inputIntRow.length; i++) { |
| 448 |
// Solo se procesan aquellas columnas en las que se pueden crear
|
| 449 |
// kernels, el resto se copian
|
| 450 |
if ((i - halfSideWindow >= 0) && (i + halfSideWindow < inputIntRow.length)) { |
| 451 |
double[][] k = new double[sideWindow][sideWindow]; |
| 452 |
int r = 0; |
| 453 |
int c = 0; |
| 454 |
for (Iterator<Object> iterator = bundleRow.iterator(); iterator.hasNext();) { |
| 455 |
int[] row = (int[]) iterator.next(); |
| 456 |
for (int column = Math.max(i - halfSideWindow, 0); column <= Math.min(i + halfSideWindow, |
| 457 |
inputIntRow.length-1); column++) {
|
| 458 |
double value = ((Integer) row[c]); |
| 459 |
if (noData.isDefined() && noData.getValue().equals(value)) {
|
| 460 |
// FIXME: Si es noData, deber?a no influir en el
|
| 461 |
// resultado
|
| 462 |
// ?Que valor poner en el kernel?
|
| 463 |
k[r][c] = 0;
|
| 464 |
} else {
|
| 465 |
k[r][c] = value; |
| 466 |
} |
| 467 |
} |
| 468 |
} |
| 469 |
Kernel kernel = BufferLocator.getBufferManager().createKernel(k);
|
| 470 |
outputByteRow[i] = processValue(kernel).byteValue(); |
| 471 |
} else {
|
| 472 |
outputByteRow[i] = ((Integer) inputIntRow[i]).byteValue();
|
| 473 |
} |
| 474 |
} |
| 475 |
} |
| 476 |
} |
| 477 |
private class FloatRowProcessor extends AbstractRowProcessor { |
| 478 |
|
| 479 |
|
| 480 |
public FloatRowProcessor(int band) { |
| 481 |
super(band);
|
| 482 |
} |
| 483 |
|
| 484 |
@Override
|
| 485 |
public void processRow(Object inputRow, List<Object> bundleRow, Object outputRow) { |
| 486 |
Number[] inputFloatRow = (Number[])inputRow; |
| 487 |
byte[] outputByteRow = (byte[]) outputRow; |
| 488 |
for (int i = 0; i < inputFloatRow.length; i++) { |
| 489 |
// Solo se procesan aquellas columnas en las que se pueden crear
|
| 490 |
// kernels, el resto se copian
|
| 491 |
if ((i - halfSideWindow >= 0) && (i + halfSideWindow < inputFloatRow.length)) { |
| 492 |
double[][] k = new double[sideWindow][sideWindow]; |
| 493 |
int r = 0; |
| 494 |
int c = 0; |
| 495 |
for (Iterator<Object> iterator = bundleRow.iterator(); iterator.hasNext();) { |
| 496 |
float[] row = (float[]) iterator.next(); |
| 497 |
for (int column = Math.max(i - halfSideWindow, 0); column <= Math.min(i + halfSideWindow, |
| 498 |
inputFloatRow.length-1); column++) {
|
| 499 |
Float value = ((Float) row[c]); |
| 500 |
if (noData.isDefined() && noData.getValue().equals(value)) {
|
| 501 |
// FIXME: Si es noData, deber?a no influir en el
|
| 502 |
// resultado
|
| 503 |
// ?Que valor poner en el kernel?
|
| 504 |
k[r][c] = 0;
|
| 505 |
} else {
|
| 506 |
k[r][c] = value; |
| 507 |
} |
| 508 |
} |
| 509 |
} |
| 510 |
Kernel kernel = BufferLocator.getBufferManager().createKernel(k);
|
| 511 |
outputByteRow[i] = processValue(kernel).byteValue(); |
| 512 |
} else {
|
| 513 |
outputByteRow[i] = ((Float) inputFloatRow[i]).byteValue();
|
| 514 |
} |
| 515 |
} |
| 516 |
} |
| 517 |
} |
| 518 |
private class DoubleRowProcessor extends AbstractRowProcessor { |
| 519 |
|
| 520 |
|
| 521 |
public DoubleRowProcessor(int band) { |
| 522 |
super(band);
|
| 523 |
} |
| 524 |
|
| 525 |
@Override
|
| 526 |
public void processRow(Object inputRow, List<Object> bundleRow, Object outputRow) { |
| 527 |
Number[] inputDoubleRow = (Number[])inputRow; |
| 528 |
byte[] outputByteRow = (byte[]) outputRow; |
| 529 |
for (int i = 0; i < inputDoubleRow.length; i++) { |
| 530 |
// Solo se procesan aquellas columnas en las que se pueden crear
|
| 531 |
// kernels, el resto se copian
|
| 532 |
if ((i - halfSideWindow >= 0) && (i + halfSideWindow < inputDoubleRow.length)) { |
| 533 |
double[][] k = new double[sideWindow][sideWindow]; |
| 534 |
int r = 0; |
| 535 |
int c = 0; |
| 536 |
for (Iterator<Object> iterator = bundleRow.iterator(); iterator.hasNext();) { |
| 537 |
double[] row = (double[]) iterator.next(); |
| 538 |
for (int column = Math.max(i - halfSideWindow, 0); column <= Math.min(i + halfSideWindow, |
| 539 |
inputDoubleRow.length-1); column++) {
|
| 540 |
Double value = ((Double) row[c]); |
| 541 |
if (noData.isDefined() && noData.getValue().equals(value)) {
|
| 542 |
// FIXME: Si es noData, deber?a no influir en el resultado
|
| 543 |
// ?Que valor poner en el kernel?
|
| 544 |
k[r][c] = 0;
|
| 545 |
} else {
|
| 546 |
k[r][c] = value; |
| 547 |
} |
| 548 |
} |
| 549 |
} |
| 550 |
Kernel kernel = BufferLocator.getBufferManager().createKernel(k);
|
| 551 |
outputByteRow[i] = processValue(kernel).byteValue(); |
| 552 |
} else {
|
| 553 |
outputByteRow[i] = ((Double) inputDoubleRow[i]).byteValue();
|
| 554 |
} |
| 555 |
} |
| 556 |
} |
| 557 |
} |
| 558 |
} |