root / trunk / extensions / extRemoteSensing / src / org / gvsig / remotesensing / classification / NoSupervisedClassificationProcess.java @ 23225
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/* gvSIG. Sistema de Informaci?n Geogr?fica de la Generalitat Valenciana
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*
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* Copyright (C) 2006 Instituto de Desarrollo Regional and Generalitat Valenciana.
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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., 59 Temple Place - Suite 330, Boston, MA 02111-1307,USA.
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*
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* For more information, contact:
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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 Iba?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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* or
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*
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* Instituto de Desarrollo Regional (Universidad de Castilla La-Mancha)
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* Campus Universitario s/n
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* 02071 Alabacete
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* Spain
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*
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* +34 967 599 200
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*/
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package org.gvsig.remotesensing.classification; |
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import java.awt.Color; |
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import java.io.File; |
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import java.io.IOException; |
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import java.util.ArrayList; |
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import java.util.Arrays; |
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import org.gvsig.fmap.raster.layers.FLyrRasterSE; |
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import org.gvsig.raster.buffer.RasterBuffer; |
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import org.gvsig.raster.buffer.WriterBufferServer; |
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import org.gvsig.raster.dataset.GeoRasterWriter; |
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import org.gvsig.raster.dataset.IBuffer; |
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import org.gvsig.raster.dataset.NotSupportedExtensionException; |
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import org.gvsig.raster.dataset.io.RasterDriverException; |
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import org.gvsig.raster.datastruct.ColorItem; |
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import org.gvsig.raster.grid.GridException; |
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import org.gvsig.raster.grid.filter.FilterTypeException; |
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import org.gvsig.raster.util.RasterToolsUtil; |
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import org.gvsig.remotesensing.RemoteSensingUtils; |
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import com.iver.andami.PluginServices; |
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import com.iver.cit.gvsig.exceptions.layers.LoadLayerException; |
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import com.iver.cit.gvsig.fmap.layers.FLayer; |
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import com.iver.cit.gvsig.project.documents.view.gui.View; |
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/** NoSupervisedClassificationProcess implementa el m?todo de clasificaci?n de
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* no supervisada
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*
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* @see ClassificationGeneralProcess
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* @author Alejandro Mu?oz Sanchez (alejandro.munoz@uclm.es)
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* @author volaya
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* @version 15/8/2008
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*/
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public class NoSupervisedClassificationProcess extends ClassificationGeneralProcess{ |
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double mean[][]=null; |
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double dmax[]= null; |
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double dmin[]= null; |
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int m_iCells[]=null; |
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int m_iThreshold=0; |
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private static Color[] colors = new Color[] {Color.RED, Color.GREEN, Color.BLUE, Color.YELLOW, Color.MAGENTA, Color.CYAN, |
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Color.ORANGE, Color.PINK, Color.WHITE, Color.BLACK}; |
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/** Metodo que recoge los parametros del proceso de clasificacion no supervisada
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* <LI>rasterSE: Capa de entrada para la clasificaci?n</LI>
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* <LI> bandList:bandas habilitadas </LI>
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* <LI>view: vista sobre la que se carga la capa al acabar el proceso</LI>
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* <LI>filename: path con el fichero de salida</LI>
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*/
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public void init() { |
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rasterSE= (FLyrRasterSE)getParam("layer");
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view=(View)getParam("view"); |
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filename= getStringParam("filename");
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bandList = (int[])getParam("bandList"); |
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numClases = getIntParam("numClases");
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if (bandList.length == 0 || numClases == 0) |
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// no se puede clasificar
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return;
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setGrid(); |
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rasterResult= RasterBuffer.getBuffer(IBuffer.TYPE_BYTE, inputGrid.getRasterBuf().getWidth(), inputGrid.getRasterBuf().getHeight(), 1, true); |
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mean= new double[numClases][inputGrid.getBandCount()]; |
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dmax=new double [inputGrid.getBandCount()]; |
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dmin= new double [inputGrid.getBandCount()]; |
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// Se completan los datos de
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for(int i=0; i< inputGrid.getBandCount();i++){ |
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inputGrid.setBandToOperate(i); |
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try {
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dmax[i]= inputGrid.getMaxValue(); |
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dmin[i]= inputGrid.getMinValue(); |
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} catch (GridException 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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double dStep=0.0; |
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for (int i = 0; i < inputGrid.getBandCount(); i++){ |
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dStep = (dmax[i] - dmin[i]) / ((double) (numClases + 1)); |
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for (int j = 0; j < numClases; j++) { |
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mean[j][i] = dmin[i] + dStep * (j + 1);
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} |
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} |
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m_iThreshold = (int) (inputGrid.getLayerNX()*inputGrid.getNY() * 0.02); |
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} |
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/** Proceso de clasificacion no supervisada*/
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public void process() throws InterruptedException { |
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int i;
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int x,y;
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int iChangedCells=0; |
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int iPrevClass=0; |
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int iClass=0; |
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double dNewMean[][] = null; |
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double swap[][]; |
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m_iCells = new int [numClases]; |
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do{
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Arrays.fill(m_iCells, (byte)0); |
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iChangedCells = 0;
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dNewMean = new double [numClases][inputGrid.getBandCount()]; |
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for (i = 0; i < numClases; i++){ |
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Arrays.fill(dNewMean[i], 0.0); |
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} |
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if(inputGrid.getRasterBuf().getDataType()==RasterBuffer.TYPE_BYTE){
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byte dValues[] = new byte[inputGrid.getBandCount()]; |
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for(y=0; y<inputGrid.getNY(); y++){ |
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for(x=0; x<inputGrid.getNX(); x++){ |
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iPrevClass = rasterResult.getElemByte(y,x,0);
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inputGrid.getRasterBuf().getElemByte(y,x,dValues); |
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iClass = getPixelClassForTypeByte(dValues); |
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rasterResult.setElem(y, x, 0,(byte)iClass); |
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for (i = 0; i < inputGrid.getBandCount(); i++){ |
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dNewMean[iClass][i] += dValues[i]&0xff;
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} |
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m_iCells[iClass]++; |
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if (iClass != iPrevClass){
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iChangedCells++; |
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} |
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} |
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} |
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} |
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if(inputGrid.getRasterBuf().getDataType()==RasterBuffer.TYPE_SHORT){
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short dValues[] = new short[inputGrid.getBandCount()]; |
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for(y=0; y<inputGrid.getNY(); y++){ |
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for(x=0; x<inputGrid.getNX(); x++){ |
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iPrevClass = rasterResult.getElemByte(y,x,0);
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inputGrid.getRasterBuf().getElemShort(y,x,dValues); |
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iClass = getPixelClassForTypeShort(dValues); |
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rasterResult.setElem(y, x, 0,(byte)iClass); |
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for (i = 0; i < inputGrid.getBandCount(); i++){ |
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dNewMean[iClass][i] += dValues[i]; |
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} |
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m_iCells[iClass]++; |
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if (iClass != iPrevClass){
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iChangedCells++; |
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} |
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} |
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} |
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} |
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if(inputGrid.getRasterBuf().getDataType()==RasterBuffer.TYPE_INT){
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int dValues[] = new int[inputGrid.getBandCount()]; |
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for(y=0; y<inputGrid.getNY(); y++){ |
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for(x=0; x<inputGrid.getNX(); x++){ |
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iPrevClass = rasterResult.getElemByte(y,x,0);
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inputGrid.getRasterBuf().getElemInt(y,x,dValues); |
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iClass = getPixelClassForTypeInt(dValues); |
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rasterResult.setElem(y, x, 0,(byte)iClass); |
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for (i = 0; i < inputGrid.getBandCount(); i++){ |
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dNewMean[iClass][i] += dValues[i]; |
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} |
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m_iCells[iClass]++; |
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if (iClass != iPrevClass){
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iChangedCells++; |
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} |
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} |
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} |
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} |
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if(inputGrid.getRasterBuf().getDataType()==RasterBuffer.TYPE_FLOAT){
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float dValues[] = new float[inputGrid.getBandCount()]; |
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for(y=0; y<inputGrid.getNY(); y++){ |
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for(x=0; x<inputGrid.getNX(); x++){ |
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iPrevClass = rasterResult.getElemByte(y,x,0);
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inputGrid.getRasterBuf().getElemFloat(y,x,dValues); |
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iClass = getPixelClassForTypeFloat(dValues); |
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rasterResult.setElem(y, x, 0,(byte)iClass); |
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for (i = 0; i < inputGrid.getBandCount(); i++){ |
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dNewMean[iClass][i] += dValues[i]; |
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} |
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m_iCells[iClass]++; |
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if (iClass != iPrevClass){
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iChangedCells++; |
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} |
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} |
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} |
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} |
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if(inputGrid.getRasterBuf().getDataType()==RasterBuffer.TYPE_DOUBLE){
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double dValues[] = new double[inputGrid.getBandCount()]; |
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for(y=0; y<inputGrid.getNY(); y++){ |
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for(x=0; x<inputGrid.getNX(); x++){ |
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iPrevClass = rasterResult.getElemByte(y,x,0);
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inputGrid.getRasterBuf().getElemDouble(y,x,dValues); |
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iClass = getPixelClassForTypeDouble(dValues); |
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rasterResult.setElem(y, x, 0,(byte)iClass); |
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for (i = 0; i < inputGrid.getBandCount(); i++){ |
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dNewMean[iClass][i] += dValues[i]; |
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} |
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m_iCells[iClass]++; |
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if (iClass != iPrevClass){
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iChangedCells++; |
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} |
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} |
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} |
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} |
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for (i = 0; i <inputGrid.getBandCount(); i++){ |
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for (int j = 0; j < numClases; j++) { |
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dNewMean[j][i] /= (double)m_iCells[j];
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} |
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} |
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swap = mean; |
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mean= dNewMean; |
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dNewMean = swap; |
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}while (iChangedCells > m_iThreshold);
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writeToFile(); |
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} |
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public String getTitle() { |
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// TODO Auto-generated method stub
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return null; |
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} |
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public int getPercent() { |
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// TODO Auto-generated method stub
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return 0; |
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} |
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/**
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* M?todo que implementa el clasificador no supervisado
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* @param array de tipo byte con los valores del pixel en cada una de las bandas
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* @return clase a la que pertenece el pixel
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*/
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public int getPixelClassForTypeByte(byte[] pixelBandsValues) { |
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int iClass = 0; |
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double dMinDist = Double.MAX_VALUE; |
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double dDist=0; |
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double dDif=0; |
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for (int i = 0; i < numClases; i++) { |
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dDist = 0;
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for (int j = 0; j < pixelBandsValues.length; j++) { |
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dDif = mean[i][j] - (pixelBandsValues[j]&0xff);
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dDist += (dDif* dDif); |
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} |
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if (dDist < dMinDist){
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dMinDist = dDist; |
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iClass = i; |
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} |
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} |
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return iClass;
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} |
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/**
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* M?todo que implementa el clasificador no supervisado
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* @param array de tipo double con los valores del pixel en cada una de las bandas
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* @return clase a la que pertenece el pixel
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*/
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public int getPixelClassForTypeShort(short[] pixelBandsValues) { |
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int iClass = 0; |
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double dMinDist = Double.MAX_VALUE; |
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double dDist;
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double dDif;
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for (int i = 0; i < numClases; i++) { |
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dDist = 0;
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for (int j = 0; j < pixelBandsValues.length; j++) { |
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dDif = mean[i][j] - pixelBandsValues[j]; |
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dDist += (dDif* dDif); |
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} |
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if (dDist < dMinDist){
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dMinDist = dDist; |
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iClass = i; |
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} |
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} |
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return iClass;
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} |
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/**
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* M?todo que implementa el clasificador no supervisado
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* @param array de tipo int con los valores del pixel en cada una de las bandas
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* @return clase a la que pertenece el pixel
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*/
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public int getPixelClassForTypeInt(int[] pixelBandsValues) { |
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int iClass = 0; |
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double dMinDist = Double.MAX_VALUE; |
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double dDist;
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double dDif;
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for (int i = 0; i < numClases; i++) { |
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dDist = 0;
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for (int j = 0; j < pixelBandsValues.length; j++) { |
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dDif = mean[i][j] - pixelBandsValues[j]; |
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dDist += (dDif* dDif); |
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} |
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if (dDist < dMinDist){
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dMinDist = dDist; |
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iClass = i; |
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} |
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} |
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return iClass;
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} |
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/**
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* M?todo que implementa el clasificador no supervisado
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* @param array de tipo float con los valores del pixel en cada una de las bandas
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* @return clase a la que pertenece el pixel
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*/
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public int getPixelClassForTypeFloat(float[] pixelBandsValues) { |
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int iClass = 0; |
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double dMinDist = Double.MAX_VALUE; |
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double dDist;
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double dDif;
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for (int i = 0; i < numClases; i++) { |
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dDist = 0;
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for (int j = 0; j < pixelBandsValues.length; j++) { |
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dDif = mean[i][j] - pixelBandsValues[j]; |
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dDist += (dDif* dDif); |
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} |
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if (dDist < dMinDist){
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dMinDist = dDist; |
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iClass = i; |
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} |
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} |
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return iClass;
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} |
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/**
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* M?todo que implementa el clasificador no supervisado
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* @param array de tipo double con los valores del pixel en cada una de las bandas
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* @return clase a la que pertenece el pixel
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*/
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public int getPixelClassForTypeDouble(double[] pixelBandsValues) { |
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int iClass = 0; |
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double dMinDist = Double.MAX_VALUE; |
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double dDist;
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double dDif;
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for (int i = 0; i < numClases; i++) { |
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dDist = 0;
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for (int j = 0; j < pixelBandsValues.length; j++) { |
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dDif = mean[i][j] - pixelBandsValues[j]; |
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dDist += (dDif* dDif); |
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} |
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if (dDist < dMinDist){
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dMinDist = dDist; |
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iClass = i; |
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} |
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} |
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return iClass;
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} |
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public void writeToFile() { |
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try{
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if(filename==null) |
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return;
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GeoRasterWriter grw = null;
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writerBufferServer = new WriterBufferServer(rasterResult);
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grw = GeoRasterWriter.getWriter(writerBufferServer, filename, rasterResult.getBandCount(),rasterSE.getAffineTransform(), rasterResult.getWidth(), rasterResult.getHeight(), rasterResult.getDataType(), GeoRasterWriter.getWriter(filename).getParams(), null);
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grw.dataWrite(); |
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grw.setWkt(rasterSE.getWktProjection()); |
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grw.writeClose(); |
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rasterResult.free(); |
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mapContext= view.getModel().getMapContext(); |
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mapContext.beginAtomicEvent(); |
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FLayer lyr = null;
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int endIndex = filename.lastIndexOf("."); |
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if (endIndex < 0) |
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endIndex = filename.length(); |
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lyr = FLyrRasterSE.createLayer( |
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filename.substring(filename.lastIndexOf(File.separator) + 1, endIndex), |
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filename, |
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view.getMapControl().getProjection() |
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); |
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ArrayList colorItems = new ArrayList(); |
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ColorItem colorItem = null;
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int classValue = 0; |
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for (int i=0; i< numClases; i++) { |
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colorItem = new ColorItem();
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colorItem.setColor(colors[i]); |
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colorItem.setNameClass("class"+i);
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colorItem.setValue(classValue); |
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colorItems.add(colorItem); |
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classValue++; |
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} |
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RemoteSensingUtils.setLeyend(lyr,colorItems); |
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mapContext.getLayers().addLayer(lyr); |
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mapContext.endAtomicEvent(); |
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mapContext.invalidate(); |
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} catch (NotSupportedExtensionException e) {
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RasterToolsUtil.messageBoxError(PluginServices.getText(this, "error_writer_notsupportedextension"), this, e); |
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} catch (RasterDriverException e) {
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RasterToolsUtil.messageBoxError(PluginServices.getText(this, "error_writer"), this, e); |
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} catch (IOException e) { |
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RasterToolsUtil.messageBoxError(PluginServices.getText(this, "error_writer"), this, e); |
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}catch (LoadLayerException e) {
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RasterToolsUtil.messageBoxError("error_cargar_capa", this, e); |
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}catch (InterruptedException e) { |
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Thread.currentThread().interrupt();
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} catch (FilterTypeException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} |
| 463 |
} |
| 464 |
} |