| gvSIG desktop 1

package org.gvsig.remotesensing.processtest;

import junit.framework.TestCase;

import org.gvsig.raster.RasterLibrary;

import org.gvsig.raster.buffer.BufferFactory;

import org.gvsig.raster.buffer.RasterBufferInvalidAccessException;

import org.gvsig.raster.buffer.RasterBufferInvalidException;

import org.gvsig.raster.dataset.NotSupportedExtensionException;

import org.gvsig.raster.dataset.RasterDataset;

import org.gvsig.raster.dataset.RasterDriverException;

import org.gvsig.raster.grid.Grid;

import org.gvsig.remotesensing.principalcomponents.PCImageProcess;

import org.gvsig.remotesensing.principalcomponents.PCStatisticsProcess;

import Jama.Matrix;

/**

* Este test prueba el proceso de calculo de las matriz de autovectores de la 

* imagen "PCA_bouldr_tm_int16.img", de seis bandas.

* Los elementos de la matriz obtenida en el proceso se comparan en valor absoluto

* comparan con los elementos de la matriz de autovalores proporcionada por ERDAS.

* ** @author Alejandro Mu?oz Sanchez (alejandro.munoz@uclm.es)

* */

public class TPCStatisticProcess extends TestCase {

        private String baseDir = "./test-images/";

        private String path1 = baseDir + "bouldr_tm_Int16.dat";

        private RasterDataset f1 = null;

        private BufferFactory ds1 = null;

        static{

                RasterLibrary.wakeUp();        

        }

        public void start() {

                this.setUp();

                this.testStack();

        }

        public void setUp() {

                System.err.println("TPCStatisticProcess running...");

                try {

                        f1 = RasterDataset.open(null, path1);

                } catch (NotSupportedExtensionException e) {

                        e.printStackTrace();

                } catch (RasterDriverException e) {

                        e.printStackTrace();

                }

                ds1 = new BufferFactory(f1);

        }

        public void testStack() {

                // Matriz de autovectores obtenida con ERDAS

                double autoVectorMatrixERDAS[][] = {

                                {0.4467930765462516 ,-0.2132448427522436, 0.61999384198935, 0.5583203571234574 ,0.1212877203683758 ,0.2099473443357927 },

                                {0.2302721175129133 ,-0.06284659594556273, 0.2921484644686843 ,-0.1714351492532642, -0.09649740387440189 ,-0.9049710341330732},

                                {0.287184731205834, 0.07705684070022263, 0.3977736576013743, -0.7037344497503186, -0.351412521922381 ,0.3669200927798035},

                                {0.3884643668946926, -0.7858370140117444 ,-0.408108215862561 ,-0.2060071443748747 ,0.1431802274591002, 0.04542891295109729},

                                {0.6376828181240171, 0.4126887053417631, -0.451856773747645, 0.2418214698550539, -0.4001988234001318, -0.01540747915579309},

                                {0.3276151521697355 ,0.3959638943275853 ,-0.0361409474886444, -0.2504588305907446 ,0.8196505984901843 ,0.004243695755382132}                

                };

                Grid g=null;

                try {

                         g = new Grid(ds1);

                } catch (RasterBufferInvalidException e) {

                        e.printStackTrace();

                }

                PCStatisticsProcess sProcess= new PCStatisticsProcess(ds1.getDataSource(),null,new boolean[]{true,true,true,true,true,true});

                sProcess.calculate();

                Matrix autoV=sProcess.getAutoVectorMatrix();

                // Reordenamos en orden descencente del valor de los autovectores

                int resultOrden[]= new int[autoV.getRowDimension()];

                int cont = autoV.getRowDimension()-1;

                for(int i=0;i<autoV.getRowDimension();i++){

                                        resultOrden[i]=cont;

                                        cont--;

                }

                /**La comparacion se realiza en valor absoluto, ya que el criterio de signos puede variar*/

                for(int i=0; i<autoVectorMatrixERDAS.length;i++)

                        for(int j=0;j<autoVectorMatrixERDAS[0].length;j++)

                        {        

                                assertEquals(java.lang.Math.abs(autoVectorMatrixERDAS[i][j]), java.lang.Math.abs(autoV.get(i, resultOrden[j])), 0.005);

                        }

        }

}