/*---------------- FILE HEADER ------------------------------------------
This file is part of deegree.
Copyright (C) 2001-2006 by:
EXSE, Department of Geography, University of Bonn
http://www.giub.uni-bonn.de/deegree/
lat/lon GmbH
http://www.lat-lon.de
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library 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
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact:
Andreas Poth
lat/lon GmbH
Aennchenstr. 19
53177 Bonn
Germany
E-Mail: poth@lat-lon.de
Prof. Dr. Klaus Greve
Department of Geography
University of Bonn
Meckenheimer Allee 166
53115 Bonn
Germany
E-Mail: greve@giub.uni-bonn.de
---------------------------------------------------------------------------*/
package org.deegree.processing.raster.classification;
/**
*
*
*
* @version $Revision: 1.2 $
* @author <a href="mailto:poth@lat-lon.de">Andreas Poth</a>
* @author last edited by: $Author: poth $
*
* @version 1.0. $Revision: 1.2 $, $Date: 2006/08/17 12:20:37 $
*
* @since 2.0
*/
public class FixedValuesRule extends AbstractClassificationRule {
private double[] values;
private double[] tolerance;
private double accuracy = 0;
/**
*
* @param values
* @param classId
* @param description
* @param representativeValue
*/
public FixedValuesRule( double[] values, int classId, String description,
double[] representativeValue) {
super ( classId, description, representativeValue );
this.values = values;
this.tolerance = new double[values.length];
}
/**
*
* @param values
* @param tolerance
* @param classId
* @param description
* @param representativeValue
* @throws ClassificationException
*/
public FixedValuesRule( double[] values, double[] tolerance, int classId, String description,
double[] representativeValue) throws ClassificationException {
super ( classId, description, representativeValue );
this.values = values;
this.tolerance = tolerance;
if ( values.length != tolerance.length ) {
throw new ClassificationException( Messages.getString("FixedValuesRule.ARRAYLENGTHERROR") ); //$NON-NLS-1$
}
}
/**
* @param vector
* @throws ClassificationException
*/
public boolean matches( double[] vector )
throws ClassificationException {
if ( vector.length != values.length ) {
throw new ClassificationException( "RangeRule.VECTORLENGTHERROR" );
}
accuracy = 0;
boolean matches = true;
for ( int i = 0; i < vector.length; i++ ) {
if ( vector[i] < ( values[i] - tolerance[i] ) ||
vector[i] > ( values[i] + tolerance[i] ) ) {
matches = false;
}
accuracy += Math.pow( vector[i] - values[i], 2 );
}
accuracy = Math.sqrt( accuracy );
return matches;
}
/**
* returns a value indicating the accuracy a classified vector matches
* a rule. For @see FixedValuesRule accuracy is the euklidian distance
* between the values array and the classified vector.
*
* @return
*/
public double getAccuracy() {
return accuracy;
}
}
/* ********************************************************************
Changes to this class. What the people have been up to:
$Log: FixedValuesRule.java,v $
Revision 1.2 2006/08/17 12:20:37 poth
implementation completed
Revision 1.1 2006/08/16 21:00:11 poth
initial check in
********************************************************************** */