Application: gvSIG desktop

/*

 * Created on 9-ago-2006

 *

 * To change the template for this generated file go to

 * Window>Preferences>Java>Code Generation>Code and Comments

 */

/* gvSIG. Sistema de Informaci?n Geogr?fica de la Generalitat Valenciana

 *

 * Copyright (C) 2004 IVER T.I. and Generalitat Valenciana.

 *

 * This program is free software; you can redistribute it and/or

 * modify it under the terms of the GNU General Public License

 * as published by the Free Software Foundation; either version 2

 * of the License, or (at your option) any later version.

 *

 * This program is distributed in the hope that it will be useful,

 * but WITHOUT ANY WARRANTY; without even the implied warranty of

 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

 * GNU General Public License for more details.

 *

 * You should have received a copy of the GNU General Public License

 * along with this program; if not, write to the Free Software

 * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307,USA.

 */

package org.gvsig.raster.dataset;

import junit.framework.TestCase;

import org.gvsig.raster.RasterLibrary;

import org.gvsig.raster.dataset.properties.DatasetStatistics;

/**

 * Este test prueba el calculo de estadisticas de un dataset. 

 * Comprueba que los valores obtenidos en las estadisticas son correctos.

 * 

 * 

 * Algunos costes del calculo de estadistica en el raster completo

 * 

 * Ordenador: AMD Athlon(tm) XP 1800+ 1540MHz, 256KB Cach?, 500M RAM

 *         Coste 1:

 *                 Raster: 17910x16062, 275M (GTiff), 1 Banda byte

 *                 Tiempo: 74.295 segs (sgtes igual)

 *         Coste 2:

 *                 Raster: 8955x8031, 69M (GTiff), 1 Banda byte

 *          Tiempo: 18.905 segs (sgtes 3.362s)

 *  Coste 3:

 *                 Raster: 812x586, 2.8M (GTiff), 3 Banda short

 *          Tiempo: 0.925 segs (sgtes 0.152s)

 *  Coste 4:

 *                 Raster: 870x870, 210K (Jpeg), 3 Banda byte

 *          Tiempo: 0.318 segs (sgtes 0.255s)

 * 

 * @author Nacho Brodin (nachobrodin@gmail.com)

 *

 */

public class TestStatistics extends TestCase {

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

        private String path1 = baseDir + "03AUG23153350-M2AS-000000122423_01_P001-BROWSE.jpg";

        private String path2 = baseDir + "wcs16bits.tif";

        private RasterDataset f1 = null;

        private RasterDataset f2 = null;

        private DatasetStatistics stats1 = null;

        private DatasetStatistics stats2 = null;

        static {

                RasterLibrary.wakeUp();

        }

        public void start() {

                this.setUp();

                this.testStack();

        }

        public void setUp() {

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

                try {

                        f1 = RasterDataset.open(null, path1);

                        f2 = RasterDataset.open(null, path2);

                } catch (NotSupportedExtensionException e) {

                        e.printStackTrace();

                } catch (RasterDriverException e) {

                        e.printStackTrace();

                }

                stats1 = f1.getStatistics();

                stats2 = f2.getStatistics();

        }

        public void testStack(){

                try {

                        stats1.calcFullStatistics();

                } catch (FileNotOpenException e) {

                        e.printStackTrace();

                } catch (RasterDriverException e) {

                        e.printStackTrace();

                }

                dataTestB1(stats1);

                dataTestB2(stats1);

                dataTestB3(stats1);

                //print(stats1);

                try {

                        stats2.calcFullStatistics();

                } catch (FileNotOpenException e) {

                        e.printStackTrace();

                } catch (RasterDriverException e) {

                        e.printStackTrace();

                }

                dataTestB1_2(stats2);

                dataTestB2_2(stats2);

                dataTestB3_2(stats2);

                //print(stats2);

        }

        private void dataTestB1(DatasetStatistics stats){

                assertEquals(new Double(stats.getMax()[0]), new Double(255.0));

                assertEquals(new Double(stats.getMin()[0]), new Double(0.0));

                assertEquals(new Double(stats.getSecondMax()[0]), new Double(254.0));

                assertEquals(new Double(stats.getSecondMin()[0]), new Double(1.0));

                assertEquals((int)stats.getMean()[0], 109);

                assertEquals((int)stats.getVariance()[0], 6125);

        }

        private void dataTestB2(DatasetStatistics stats){

                assertEquals(new Double(stats.getMax()[1]), new Double(255.0));

                assertEquals(new Double(stats.getMin()[1]), new Double(0.0));

                assertEquals(new Double(stats.getSecondMax()[1]), new Double(254.0));

                assertEquals(new Double(stats.getSecondMin()[1]), new Double(1.0));

                assertEquals((int)stats.getMean()[1], 111);

                assertEquals((int)stats.getVariance()[1], 5722);

        }

        private void dataTestB3(DatasetStatistics stats){

                assertEquals(new Double(stats.getMax()[2]), new Double(255.0));

                assertEquals(new Double(stats.getMin()[2]), new Double(0.0));

                assertEquals(new Double(stats.getSecondMax()[2]), new Double(254.0));

                assertEquals(new Double(stats.getSecondMin()[2]), new Double(1.0));

                assertEquals((int)stats.getMean()[2], 98);

                assertEquals((int)stats.getVariance()[2], 5495);

        }

        private void dataTestB1_2(DatasetStatistics stats){

                assertEquals(new Double(stats.getMax()[0]), new Double(1269.0));

                assertEquals(new Double(stats.getMin()[0]), new Double(0.0));

                assertEquals(new Double(stats.getSecondMax()[0]), new Double(1235.0));

                assertEquals(new Double(stats.getSecondMin()[0]), new Double(6.0));

                assertEquals((int)stats.getMean()[0], 71);

                assertEquals((int)stats.getVariance()[0], 22678);

        }

        private void dataTestB2_2(DatasetStatistics stats){

                assertEquals(new Double(stats.getMax()[1]), new Double(1525.0));

                assertEquals(new Double(stats.getMin()[1]), new Double(0.0));

                assertEquals(new Double(stats.getSecondMax()[1]), new Double(1522.0));

                assertEquals(new Double(stats.getSecondMin()[1]), new Double(14.0));

                assertEquals((int)stats.getMean()[1], 104);

                assertEquals((int)stats.getVariance()[1], 37907);

        }

        private void dataTestB3_2(DatasetStatistics stats){

                assertEquals(new Double(stats.getMax()[2]), new Double(888.0));

                assertEquals(new Double(stats.getMin()[2]), new Double(0.0));

                assertEquals(new Double(stats.getSecondMax()[2]), new Double(884.0));

                assertEquals(new Double(stats.getSecondMin()[2]), new Double(13.0));

                assertEquals((int)stats.getMean()[2], 75);

                assertEquals((int)stats.getVariance()[2], 17437);

        }

        private void print(DatasetStatistics stats){

                for(int iBand = 0; iBand < f1.getBandCount(); iBand ++){

                        System.out.println("Band " + iBand);

                        System.out.println("...Max: " + stats.getMax()[iBand]);

                        System.out.println("...Min: " + stats.getMin()[iBand]);

                        System.out.println("...SecondMax: " + stats.getSecondMax()[iBand]);

                        System.out.println("...SecondMin: " + stats.getSecondMin()[iBand]);

                        System.out.println("...Mean: " + stats.getMean()[iBand]);

                        System.out.println("...Variance: " + stats.getVariance()[iBand]);

                }

        }

}