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 / BufferInterpolation.java @ 43867
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package org.gvsig.raster.lib.buffer.impl; |
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import org.gvsig.raster.lib.buffer.api.Band; |
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import org.gvsig.raster.lib.buffer.api.Band.BandByte; |
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import org.gvsig.raster.lib.buffer.api.Band.BandDouble; |
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import org.gvsig.raster.lib.buffer.api.Band.BandFloat; |
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import org.gvsig.raster.lib.buffer.api.Band.BandInt; |
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import org.gvsig.raster.lib.buffer.api.Band.BandShort; |
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import org.gvsig.raster.lib.buffer.api.Buffer; |
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import org.gvsig.raster.lib.buffer.api.BufferManager; |
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import org.gvsig.tools.ToolsLocator; |
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import org.gvsig.tools.task.SimpleTaskStatus; |
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import org.slf4j.Logger; |
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import org.slf4j.LoggerFactory; |
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/**
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* @author fdiaz
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*
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*/
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public class BufferInterpolation { |
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private static final Logger LOG = LoggerFactory.getLogger(BufferInterpolation.class); |
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/**
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* @param buf
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*/
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public BufferInterpolation() {
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} |
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/**
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* Interpolates the buffer "source" to a number of columns and a number of rows
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* and stores the result in the buffer "targer" according to the nearest interpolation method.
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*
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* @param source
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* @param rows
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* @param columns
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* @param target
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* @param status
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*/
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public void nearestNeighbourInterpolation(Buffer source, Buffer target, SimpleTaskStatus status) { |
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boolean isMyStatus = false; |
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if (status == null) { |
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status = |
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ToolsLocator.getTaskStatusManager().createDefaultSimpleTaskStatus("Nearest neighbour interpolation");
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status.add(); |
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isMyStatus = true;
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} else {
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status.push(); |
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} |
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try {
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int rows = target.getRows();
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int columns = target.getColumns();
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double stepX = (double) columns / (double) source.getColumns(); |
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double stepY = (double) rows / (double) source.getRows(); |
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status.setRangeOfValues(0, source.getBandCount() * source.getRows() * source.getColumns());
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status.message("Calculating interpolation");
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int count = 0; |
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for (int iBand = 0; iBand < source.getBandCount(); iBand++) { |
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Band sourceBand = source.getBand(iBand); |
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Band targetBand = target.getBand(iBand); |
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if (stepY < 1) {// submuestreo Y |
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int previousTargetRow = -1; |
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for (int sourceRow = 0; sourceRow < source.getRows(); sourceRow++) { |
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int targetRow = (int) (sourceRow * stepY); |
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if (targetRow != previousTargetRow) {
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if (stepX < 1) { // submuestreo X |
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submuestreoX(source, stepX, sourceBand, targetBand, sourceRow, targetRow); |
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} else {
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supermuestreoX(columns, stepX, sourceBand, targetBand, sourceRow, targetRow); |
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} |
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status.setCurValue(count+=source.getColumns()); |
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if (status.isCancelled()) {
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status.abort(); |
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return;
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} |
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previousTargetRow = targetRow; |
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} else {
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count += source.getColumns(); |
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status.setCurValue(count); |
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} |
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} |
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} else { // supermuestreo Y |
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for (int targetRow = 0; targetRow < rows; targetRow++) { |
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int sourceRow = (int) (targetRow / stepY); |
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if (stepX < 1) { // submuestreo X |
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submuestreoX(source, stepX, sourceBand, targetBand, sourceRow, targetRow); |
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} else {
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supermuestreoX(columns, stepX, sourceBand, targetBand, sourceRow, targetRow); |
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} |
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status.setCurValue(count+=source.getColumns()); |
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if (status.isCancelled()) {
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status.abort(); |
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return;
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} |
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} |
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} |
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} |
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if (isMyStatus) {
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status.terminate(); |
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} else {
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status.pop(); |
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} |
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} catch (Exception e) { |
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status.abort(); |
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throw e;
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} |
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return;
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|
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} |
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/**
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* @param columns
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* @param stepX
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* @param sourceBand
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* @param targetBand
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* @param sourceRow
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* @param targetRow
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*/
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private void supermuestreoX(int columns, double stepX, Band sourceBand, Band targetBand, int sourceRow, |
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int targetRow) {
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for (int targetCol = 0; targetCol < columns; targetCol++) { |
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int sourceColumn = (int) (targetCol / stepX); |
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targetBand.set(targetRow, targetCol, sourceBand.get(sourceRow, sourceColumn)); |
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} |
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} |
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/**
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* @param source
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* @param stepX
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* @param sourceBand
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* @param targetBand
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* @param sourceRow
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* @param targetRow
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*/
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private void submuestreoX(Buffer source, double stepX, Band sourceBand, Band targetBand, int sourceRow, int targetRow) { |
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int previousTargetColumn = -1; |
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for (int sourceCol = 0; sourceCol < source.getColumns(); sourceCol++) { |
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int targetColumn = (int) (sourceCol * stepX); |
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if (targetColumn != previousTargetColumn) {
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Object value = sourceBand.get(sourceRow, sourceCol);
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targetBand.set(targetRow, targetColumn, value); |
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previousTargetColumn = targetColumn; |
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} |
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} |
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} |
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/**
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* Interpolates the buffer "source" to a number of columns and a number of rows
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* and stores the result in the buffer "targer" according to the bilinear interpolation method.
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*
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* Promedia el valor de cuatro pixeles adyacentes.
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* <P>
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* Para cada pixel del raster A:(x, y) obtiene el B:(x + 1, y), C:(x, y +
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* 1), D:(x + 1, y + 1) Para cada valor del kernel se calcula un valor 'd'
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* que es un peso dependiendo de su posici?n. Este peso depende de la
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* posici?n del pixel destino dentro del origen. La posici?n del pixel
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* destino en el origen es un valor decimal que puede ir de 0 a 1. Si est?
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* muy pegado a la esquina superior izquierda estar? cercano a 0 y si est?
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* muy pegado a la esquina inferior derecha estar? cercano a 1. Este valor
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* est? representado por 'dx' y 'dy'.
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* </P>
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* <P>
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* Los pesos aplicados son a
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* <UL>
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* <LI>A (1-dx) * (1-dy)</LI>
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* <LI>B dx * (1-dy)</LI>
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* <LI>C (1-dx) * dy</LI>
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* <LI>D dx * dy</LI>
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* </UL>
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* La variable 'z' contiene el valor acumulado de cada peso por el valor del
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* pixel. La variable 'n' contiene el valor acumulado de los pesos de los
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* cuatro pixeles. El valor final del pixel ser? 'z/n', es decir un promedio
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* del valor de los cuatro teniendo en cuenta el peso de cada uno.
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* </P>
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* @param source
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* @param rows
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* @param columns
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* @param target
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* @param status
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*
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*/
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public void bilinearInterpolation(Buffer source, Buffer target, SimpleTaskStatus status) { |
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boolean isMyStatus = false; |
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if (status == null) { |
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status = ToolsLocator.getTaskStatusManager().createDefaultSimpleTaskStatus("Bilinear interpolation");
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status.add(); |
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isMyStatus = true;
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} else {
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status.push(); |
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} |
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status.add(); |
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try {
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int rows = target.getRows();
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int columns = target.getColumns();
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double pxSizeX = (double) source.getColumns() / (double) columns; |
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double pxSizeY = (double) source.getRows() / (double) rows; |
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double posX, posY;
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double dx = 0D, dy = 0D; |
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int bandCount = source.getBandCount();
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for (int iBand = 0; iBand < bandCount; iBand++) { |
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status.setRangeOfValues(0, source.getRows());
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status.message("Interpolating, band "+iBand+"/"+ bandCount); |
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status.setCurValue(0);
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posY = pxSizeY / 2D;
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Band sourceBand = source.getBand(iBand); |
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Band targetBand = target.getBand(iBand); |
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for (int iRow = 0; iRow < rows; iRow++) { |
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status.setCurValue(iRow); |
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if (status.isCancelled()) {
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status.abort(); |
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return;
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} |
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dy = posY - ((int) posY);
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posX = pxSizeX / 2D;
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for (int iCol = 0; iCol < columns; iCol++) { |
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dx = posX - ((int) posX);
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try {
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double[] kernel = getKernel((int) posY, (int) posX, sourceBand); |
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setBandValueFromDouble(iRow, iCol, targetBand, getBilinearValue(dx, dy, kernel)); |
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} catch (ArrayIndexOutOfBoundsException e) { |
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LOG.warn( |
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"Array index out of bounds exception. [band rows: {} band cols: {} row: {} col: {} dx: {} dy: {}]",
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new Object[] { targetBand.getRows(), targetBand.getColumns(), iRow, |
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iCol, dx, dy}); |
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} |
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posX += pxSizeX; |
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} |
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posY += pxSizeY; |
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} |
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} |
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if (isMyStatus) {
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status.terminate(); |
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} else {
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status.pop(); |
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} |
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} catch (Exception e) { |
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status.abort(); |
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throw e;
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} |
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} |
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/**
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* Interpolates the buffer "source" to a number of columns and a number of rows
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* and stores the result in the buffer "targer" according to the inverse distance interpolation method.
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*
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* Asigna el valor de un pixel en funci?n inversa de la distancia.
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* <P>
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* Para cada pixel del raster A:(x, y) obtiene el B:(x + 1, y), C:(x, y +
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* 1), D:(x + 1, y + 1) Para cada valor del kernel se calcula un valor 'd'
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* que es un peso dependiendo de su posici?n. Este peso ser? dependiente de
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* la posici?n del pixel destino dentro del origen. La posici?n del pixel
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* destino en el origen es un valor decimal que puede ir de 0 a 1. Si est?
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* muy pegado a la esquina superior izquierda estar? cercano a 0 y si est?
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* muy pegado a la esquina inferior derecha estar? cercano a 1. Este valor
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* est? representado por 'dx' y 'dy'. En este caso, y a diferencia del
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* m?todo bilinear el peso vendr? representado por la inversa de la
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* distancia entre la posici?n dentro del pixel y el origen del mismo.
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* </P>
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* <P>
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* Los pesos aplicados son a
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* <UL>
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* <LI>A 1 / sqrt((1-dx) * (1-dy))</LI>
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* <LI>B 1 / sqrt(dx * (1-dy))</LI>
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* <LI>C 1 / sqrt((1-dx) * dy)</LI>
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* <LI>D 1 / sqrt(dx * dy)</LI>
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* </UL>
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* La variable 'z' contiene el valor acumulado de cada peso por el valor del
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* pixel. La variable 'n' contiene el valor acumulado de los pesos de los
|
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* cuatro pixeles. El valor final del pixel ser? 'z/n', es decir un promedio
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* del valor de los cuatro teniendo en cuenta el peso de cada uno.
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* </P>
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* @param source
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* @param rows
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* @param columns
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* @param target
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* @param status
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*/
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public void inverseDistanceInterpolation(Buffer source, Buffer target, SimpleTaskStatus status) { |
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boolean isMyStatus = false; |
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if (status == null) { |
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status = ToolsLocator.getTaskStatusManager().createDefaultSimpleTaskStatus("Inverse distance interpolation");
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status.add(); |
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isMyStatus = true;
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} else {
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status.push(); |
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} |
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try {
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int rows = target.getRows();
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int columns = target.getColumns();
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double pxSizeX = (double) source.getColumns() / (double) columns; |
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double pxSizeY = (double) source.getRows() / (double) rows; |
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status.setRangeOfValues(0, source.getBandCount() * source.getRows() * source.getColumns());
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status.message("Calculating interpolation");
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int count = 0; |
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double posX, posY;
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double dx = 0D, dy = 0D; |
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for (int iBand = 0; iBand < source.getBandCount(); iBand++) { |
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posY = pxSizeY / 2D;
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Band sourceBand = source.getBand(iBand); |
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Band targetBand = target.getBand(iBand); |
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for (int iRow = 0; iRow < rows; iRow++) { |
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dy = posY - ((int) posY);
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posX = pxSizeX / 2D;
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for (int iCol = 0; iCol < columns; iCol++) { |
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status.setCurValue(count++); |
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if (status.isCancelled()) {
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status.abort(); |
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return;
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} |
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dx = posX - ((int) posX);
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try {
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double[] kernel = getKernel(((int) posY), ((int) posX), sourceBand); |
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setBandValueFromDouble(iRow, iCol, targetBand, getInverseDistanceValue(dx, dy, kernel)); |
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} catch (ArrayIndexOutOfBoundsException e) { |
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LOG.warn( |
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"Array index out of bounds exception. [band rows: {} band cols: {} row: {} col: {} dx: {} dy: {}]",
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new Object[] { targetBand.getRows(), targetBand.getColumns(), iRow, |
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iCol, dx, dy}); |
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} |
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posX += pxSizeX; |
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} |
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posY += pxSizeY; |
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} |
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} |
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if (isMyStatus) {
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status.terminate(); |
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} else {
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status.pop(); |
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} |
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} catch (Exception e) { |
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status.abort(); |
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throw e;
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} |
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return;
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} |
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|
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/**
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* Interpolates the buffer "source" to a number of columns and a number of rows
|
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* and stores the result in the buffer "targer" according to the bicubic spline interpolation method.
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* el valor de cuatro pixeles adyacentes.
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* @param source
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* @param rows
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* @param columns
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* @param target
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* @param status
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*/
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public void bicubicSplineInterpolation(Buffer source, Buffer target, SimpleTaskStatus status) { |
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boolean isMyStatus = false; |
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if (status == null) { |
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status = ToolsLocator.getTaskStatusManager().createDefaultSimpleTaskStatus("Bicubic spline interpolation");
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status.add(); |
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isMyStatus = true;
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} else {
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status.push(); |
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} |
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try {
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int rows = target.getRows();
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int columns = target.getColumns();
|
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|
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double pxSizeX = (double) source.getColumns() / (double) columns; |
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double pxSizeY = (double) source.getRows() / (double) rows; |
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status.setRangeOfValues(0, source.getRows()*source.getBandCount());
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status.message("Calculating interpolation");
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int count = 0; |
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double posX, posY;
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double dx = 0D, dy = 0D; |
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|
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for (int iBand = 0; iBand < source.getBandCount(); iBand++) { |
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posY = pxSizeY / 2D;
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Band sourceBand = source.getBand(iBand); |
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Band targetBand = target.getBand(iBand); |
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for (int iRow = 0; iRow < rows; iRow++) { |
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status.setCurValue(count++); |
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if (status.isCancelled()) {
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status.abort(); |
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return;
|
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} |
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dy = posY - ((int) posY);
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posX = pxSizeX / 2D;
|
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for (int iCol = 0; iCol < columns; iCol++) { |
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dx = posX - ((int) posX);
|
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try {
|
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double[][] submatrix = get4x4Submatrix(((int) posY), ((int) posX), source, sourceBand); |
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if (submatrix == null) { |
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double[] kernel = getKernel((int) posY, (int) posX, sourceBand); |
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setBandValueFromDouble(iRow, iCol, targetBand, getBilinearValue(dx, dy, kernel)); |
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} else {
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setBandValueFromDouble(iRow, iCol, targetBand, getBSplineValue(dx, dy, submatrix)); |
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} |
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} catch (ArrayIndexOutOfBoundsException e) { |
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LOG.warn( |
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"Array index out of bounds exception. [band rows: {} band cols: {} row: {} col: {} dx: {} dy: {}]",
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new Object[] { targetBand.getRows(), targetBand.getColumns(), iRow, |
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iCol, dx, dy}); |
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} |
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posX += pxSizeX; |
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} |
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posY += pxSizeY; |
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} |
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} |
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|
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if (isMyStatus) {
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status.terminate(); |
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} else {
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status.pop(); |
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} |
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} catch (Exception e) { |
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status.abort(); |
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throw e;
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} |
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return;
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} |
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|
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/**
|
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* Interpolates the buffer "source" to a number of columns and a number of rows
|
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* and stores the result in the buffer "targer" according to the bSplineInterpolation method.
|
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* @param source
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* @param rows
|
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* @param columns
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* @param target
|
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* @param status
|
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*/
|
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public void bSplineInterpolation(Buffer source, Buffer target, SimpleTaskStatus status) { |
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|
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boolean isMyStatus = false; |
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if (status == null) { |
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status = ToolsLocator.getTaskStatusManager().createDefaultSimpleTaskStatus("BSpline interpolation");
|
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status.add(); |
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isMyStatus = true;
|
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} else {
|
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status.push(); |
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} |
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try {
|
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int rows = target.getRows();
|
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int columns = target.getColumns();
|
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|
| 452 |
double pxSizeX = (double) source.getColumns() / (double) columns; |
| 453 |
double pxSizeY = (double) source.getRows() / (double) rows; |
| 454 |
|
| 455 |
status.setRangeOfValues(0, source.getBandCount() * source.getRows() * source.getColumns());
|
| 456 |
status.message("Calculating interpolation");
|
| 457 |
int count = 0; |
| 458 |
double posX, posY;
|
| 459 |
double dx = 0D, dy = 0D; |
| 460 |
|
| 461 |
for (int iBand = 0; iBand < source.getBandCount(); iBand++) { |
| 462 |
posY = pxSizeY / 2D;
|
| 463 |
Band sourceBand = source.getBand(iBand); |
| 464 |
Band targetBand = target.getBand(iBand); |
| 465 |
for (int iRow = 0; iRow < rows; iRow++) { |
| 466 |
dy = posY - ((int) posY);
|
| 467 |
posX = pxSizeX / 2D;
|
| 468 |
for (int iCol = 0; iCol < columns; iCol++) { |
| 469 |
status.setCurValue(count++); |
| 470 |
if (status.isCancelled()) {
|
| 471 |
status.abort(); |
| 472 |
return;
|
| 473 |
} |
| 474 |
dx = posX - ((int) posX);
|
| 475 |
try {
|
| 476 |
double[][] submatrix = get4x4Submatrix(((int) posY), ((int) posX), source, sourceBand); |
| 477 |
if (submatrix == null) { |
| 478 |
double[] kernel = getKernel( ((int) posY), ((int) posX),sourceBand); |
| 479 |
setBandValueFromDouble(iRow, iCol, targetBand, getBilinearValue(dx, dy, kernel)); |
| 480 |
} else {
|
| 481 |
setBandValueFromDouble(iRow, iCol, targetBand, getBicubicSplineValue(dx, dy, submatrix)); |
| 482 |
} |
| 483 |
} catch (ArrayIndexOutOfBoundsException e) { |
| 484 |
LOG.warn( |
| 485 |
"Array index out of bounds exception. [band rows: {} band cols: {} row: {} col: {} dx: {} dy: {}]",
|
| 486 |
new Object[] { targetBand.getRows(), targetBand.getColumns(), iRow, |
| 487 |
iCol, dx, dy }); |
| 488 |
} |
| 489 |
posX += pxSizeX; |
| 490 |
} |
| 491 |
posY += pxSizeY; |
| 492 |
} |
| 493 |
} |
| 494 |
|
| 495 |
if (isMyStatus) {
|
| 496 |
status.terminate(); |
| 497 |
} else {
|
| 498 |
status.pop(); |
| 499 |
} |
| 500 |
} catch (Exception e) { |
| 501 |
status.abort(); |
| 502 |
throw e;
|
| 503 |
} |
| 504 |
return;
|
| 505 |
} |
| 506 |
|
| 507 |
/**
|
| 508 |
*
|
| 509 |
* @param dx
|
| 510 |
* @param dy
|
| 511 |
* @param kernel
|
| 512 |
* @return
|
| 513 |
*/
|
| 514 |
private double getBicubicSplineValue(double dx, double dy, double[][] kernel) { |
| 515 |
int i;
|
| 516 |
double a0, a2, a3, b1, b2, b3;
|
| 517 |
double[] c = new double[4]; |
| 518 |
|
| 519 |
for (i = 0; i < 4; i++) { |
| 520 |
a0 = kernel[0][i] - kernel[1][i]; |
| 521 |
a2 = kernel[2][i] - kernel[1][i]; |
| 522 |
a3 = kernel[3][i] - kernel[1][i]; |
| 523 |
|
| 524 |
b1 = -a0 / 3.0 + a2 - a3 / 6.0; |
| 525 |
b2 = a0 / 2.0 + a2 / 2.0; |
| 526 |
b3 = -a0 / 6.0 - a2 / 2.0 + a3 / 6.0; |
| 527 |
|
| 528 |
c[i] = kernel[1][i] + b1 * dx + b2 * (dx * dx) + b3 * (dx * dx * dx);
|
| 529 |
} |
| 530 |
|
| 531 |
a0 = c[0] - c[1]; |
| 532 |
a2 = c[2] - c[1]; |
| 533 |
a3 = c[3] - c[1]; |
| 534 |
|
| 535 |
b1 = -a0 / 3.0 + a2 - a3 / 6.0; |
| 536 |
b2 = a0 / 2.0 + a2 / 2.0; |
| 537 |
b3 = -a0 / 6.0 - a2 / 2.0 + a3 / 6.0; |
| 538 |
|
| 539 |
return (c[1] + b1 * dy + b2 * (dy * dy) + b3 * (dy * dy * dy)); |
| 540 |
} |
| 541 |
|
| 542 |
/**
|
| 543 |
*
|
| 544 |
* @param dx
|
| 545 |
* @param dy
|
| 546 |
* @param kernel
|
| 547 |
* @return
|
| 548 |
*/
|
| 549 |
private double getBSplineValue(double dx, double dy, double[][] kernel) { |
| 550 |
int i = 0, ix = 0, iy = 0; |
| 551 |
double px = 0, py = 0, z = 0; |
| 552 |
double[] Rx = new double[4]; |
| 553 |
double[] Ry = new double[4]; |
| 554 |
|
| 555 |
for (i = 0, px = -1.0 - dx, py = -1.0 - dy; i < 4; i++, px++, py++) { |
| 556 |
Rx[i] = 0.0;
|
| 557 |
Ry[i] = 0.0;
|
| 558 |
|
| 559 |
if ((z = px + 2.0) > 0.0) |
| 560 |
Rx[i] += z * z * z; |
| 561 |
if ((z = px + 1.0) > 0.0) |
| 562 |
Rx[i] += -4.0 * z * z * z;
|
| 563 |
if ((z = px + 0.0) > 0.0) |
| 564 |
Rx[i] += 6.0 * z * z * z;
|
| 565 |
if ((z = px - 1.0) > 0.0) |
| 566 |
Rx[i] += -4.0 * z * z * z;
|
| 567 |
if ((z = py + 2.0) > 0.0) |
| 568 |
Ry[i] += z * z * z; |
| 569 |
if ((z = py + 1.0) > 0.0) |
| 570 |
Ry[i] += -4.0 * z * z * z;
|
| 571 |
if ((z = py + 0.0) > 0.0) |
| 572 |
Ry[i] += 6.0 * z * z * z;
|
| 573 |
if ((z = py - 1.0) > 0.0) |
| 574 |
Ry[i] += -4.0 * z * z * z;
|
| 575 |
|
| 576 |
Rx[i] /= 6.0;
|
| 577 |
Ry[i] /= 6.0;
|
| 578 |
} |
| 579 |
|
| 580 |
for (iy = 0, z = 0.0; iy < 4; iy++) { |
| 581 |
for (ix = 0; ix < 4; ix++) { |
| 582 |
z += kernel[ix][iy] * Rx[ix] * Ry[iy]; |
| 583 |
} |
| 584 |
} |
| 585 |
return z;
|
| 586 |
} |
| 587 |
|
| 588 |
/**
|
| 589 |
* Calcula los valores N y Z para el m?todo bilinear y obtiene el valor del
|
| 590 |
* pixel como
|
| 591 |
* Z / N
|
| 592 |
*
|
| 593 |
* @param dx
|
| 594 |
* distancia en X desde el centro del pixel hasta el punto. Es un
|
| 595 |
* valor entre 0 y 1
|
| 596 |
* @param dy
|
| 597 |
* distancia en Y desde el centro del pixel hasta el punto. Es un
|
| 598 |
* valor entre 0 y 1
|
| 599 |
* @param kernel
|
| 600 |
* valor del pixel y alrededor
|
| 601 |
* @return valor del pixel
|
| 602 |
*/
|
| 603 |
private double getBilinearValue(double dx, double dy, double[] kernel) { |
| 604 |
double z = 0.0, n = 0.0, d; |
| 605 |
d = (1.0 - dx) * (1.0 - dy); |
| 606 |
z += d * kernel[0];
|
| 607 |
n += d; |
| 608 |
|
| 609 |
d = dx * (1.0 - dy);
|
| 610 |
z += d * kernel[1];
|
| 611 |
n += d; |
| 612 |
|
| 613 |
d = (1.0 - dx) * dy;
|
| 614 |
z += d * kernel[2];
|
| 615 |
n += d; |
| 616 |
|
| 617 |
d = dx * dy; |
| 618 |
z += d * kernel[3];
|
| 619 |
n += d; |
| 620 |
|
| 621 |
double b = 0; |
| 622 |
if (n > 0.0) { |
| 623 |
b = (z / n); |
| 624 |
} |
| 625 |
return b;
|
| 626 |
} |
| 627 |
|
| 628 |
/**
|
| 629 |
* Calcula los valores N y Z para el m?todo de distancia inversa y calcula
|
| 630 |
* el valor del
|
| 631 |
* pixel como Z / N.
|
| 632 |
*
|
| 633 |
* @param dx
|
| 634 |
* distancia en X desde el centro del pixel hasta el punto. Es un
|
| 635 |
* valor entre 0 y 1
|
| 636 |
* @param dy
|
| 637 |
* distancia en Y desde el centro del pixel hasta el punto. Es un
|
| 638 |
* valor entre 0 y 1
|
| 639 |
* @param kernel
|
| 640 |
* valor del pixel y alrededor
|
| 641 |
* @return valor del pixel
|
| 642 |
*/
|
| 643 |
private double getInverseDistanceValue(double dx, double dy, double[] kernel) { |
| 644 |
double z = 0.0, n = 0.0, d; |
| 645 |
double t = Math.sqrt(dx * dx + dy * dy); |
| 646 |
d = 1.0 / ((t == 0) ? 0.5 : t); |
| 647 |
z += d * kernel[0];
|
| 648 |
n += d; |
| 649 |
|
| 650 |
t = Math.sqrt((1.0 - dx) * (1.0 - dx) + dy * dy); |
| 651 |
d = 1.0 / ((t == 0) ? 0.5 : t); |
| 652 |
z += d * kernel[1];
|
| 653 |
n += d; |
| 654 |
|
| 655 |
t = Math.sqrt(dx * dx + (1.0 - dy) * (1.0 - dy)); |
| 656 |
d = 1.0 / ((t == 0) ? 0.5 : t); |
| 657 |
z += d * kernel[2];
|
| 658 |
n += d; |
| 659 |
|
| 660 |
t = Math.sqrt((1.0 - dx) * (1.0 - dx) + (1.0 - dy) * (1.0 - dy)); |
| 661 |
d = 1.0 / ((t == 0) ? 0.5 : t); |
| 662 |
z += d * kernel[3];
|
| 663 |
n += d; |
| 664 |
|
| 665 |
double b = 0; |
| 666 |
if (n > 0.0) { |
| 667 |
b = (z / n); |
| 668 |
} |
| 669 |
return b;
|
| 670 |
} |
| 671 |
|
| 672 |
/**
|
| 673 |
* Obtiene un kernel de 4x4 elementos. Si alguno de los elementos se sale de
|
| 674 |
* la imagen
|
| 675 |
* , por ejemplo en los bordes devuelve null.
|
| 676 |
*
|
| 677 |
* @param column
|
| 678 |
* @param row
|
| 679 |
* @param band
|
| 680 |
* @return
|
| 681 |
*/
|
| 682 |
private double[][] get4x4Submatrix( int row, int column, Buffer buffer, Band band) { |
| 683 |
int ix, iy, px, py;
|
| 684 |
double[][] z_xy = new double[4][4]; |
| 685 |
|
| 686 |
for (iy = 0, py = row - 1; iy < 4; iy++, py++) { |
| 687 |
for (ix = 0, px = column - 1; ix < 4; ix++, px++) { |
| 688 |
if (!buffer.isInside(px, py)) {
|
| 689 |
return null; |
| 690 |
} else {
|
| 691 |
z_xy[ix][iy] = getBandValueToDouble(py, px, band); |
| 692 |
} |
| 693 |
} |
| 694 |
} |
| 695 |
return z_xy;
|
| 696 |
} |
| 697 |
|
| 698 |
/**
|
| 699 |
* Obtiene un kernel de cuatro elemento que corresponden a los pixeles (x,
|
| 700 |
* y), (x + 1, y),
|
| 701 |
* (x, y + 1), (x + 1, y + 1). Si los pixeles x + 1 o y + 1 se salen del
|
| 702 |
* raster de origen
|
| 703 |
* se tomar? x e y.
|
| 704 |
*
|
| 705 |
* @param x
|
| 706 |
* Coordenada X del pixel inicial
|
| 707 |
* @param y
|
| 708 |
* Coordenada Y del pixel inicial
|
| 709 |
* @param band
|
| 710 |
* the band
|
| 711 |
* @return Kernel solicitado en forma de array.
|
| 712 |
*/
|
| 713 |
private double[] getKernel(int row, int column, Band band) { |
| 714 |
double[] d = new double[4]; |
| 715 |
d[0] = getBandValueToDouble(row, column, band);
|
| 716 |
int nextColumn = ((column + 1) >= band.getColumns()) ? column : (column + 1); |
| 717 |
int nextRow = ((row + 1) >= band.getRows()) ? row : (row + 1); |
| 718 |
d[1] = getBandValueToDouble(row, nextColumn, band);
|
| 719 |
d[2] = getBandValueToDouble(nextRow, column, band);
|
| 720 |
d[3] = getBandValueToDouble(nextRow, nextColumn, band);
|
| 721 |
return d;
|
| 722 |
} |
| 723 |
|
| 724 |
private double getBandValueToDouble(int row, int column, Band band) { |
| 725 |
switch (band.getDataType()) {
|
| 726 |
case BufferManager.TYPE_BYTE:
|
| 727 |
return ((BandByte) band).getValue(row, column) & 0xff; |
| 728 |
case BufferManager.TYPE_SHORT:
|
| 729 |
case BufferManager.TYPE_USHORT:
|
| 730 |
return ((BandShort) band).getValue(row, column) & 0xffff; |
| 731 |
case BufferManager.TYPE_INT:
|
| 732 |
return ((BandInt) band).getValue(row, column) & 0xffffffff; |
| 733 |
case BufferManager.TYPE_FLOAT:
|
| 734 |
return ((BandFloat) band).getValue(row, column);
|
| 735 |
case BufferManager.TYPE_DOUBLE:
|
| 736 |
return ((BandDouble) band).getValue(row, column);
|
| 737 |
default:
|
| 738 |
throw new IllegalArgumentException("Unknow dataType " + band.getDataType() + "."); |
| 739 |
} |
| 740 |
} |
| 741 |
|
| 742 |
private void setBandValueFromDouble(int row, int column, Band band, Number value) { |
| 743 |
switch (band.getDataType()) {
|
| 744 |
case BufferManager.TYPE_BYTE:
|
| 745 |
((BandByte) band).setValue(row, column, value.byteValue()); |
| 746 |
break;
|
| 747 |
case BufferManager.TYPE_SHORT:
|
| 748 |
case BufferManager.TYPE_USHORT:
|
| 749 |
((BandShort) band).setValue(row, column, value.shortValue()); |
| 750 |
break;
|
| 751 |
case BufferManager.TYPE_INT:
|
| 752 |
((BandInt) band).setValue(row, column, value.intValue()); |
| 753 |
break;
|
| 754 |
case BufferManager.TYPE_FLOAT:
|
| 755 |
((BandFloat) band).setValue(row, column, value.floatValue()); |
| 756 |
break;
|
| 757 |
case BufferManager.TYPE_DOUBLE:
|
| 758 |
((BandDouble) band).setValue(row, column, value.doubleValue()); |
| 759 |
break;
|
| 760 |
default:
|
| 761 |
throw new IllegalArgumentException("Unknow dataType " + band.getDataType() + "."); |
| 762 |
} |
| 763 |
} |
| 764 |
} |