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/*
* The JTS Topology Suite is a collection of Java classes that
* implement the fundamental operations required to validate a given
* geo-spatial data set to a known topological specification.
*
* Copyright (C) 2001 Vivid Solutions
*
* 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
*
* For more information, contact:
*
*     Vivid Solutions
*     Suite #1A
*     2328 Government Street
*     Victoria BC  V8T 5G5
*     Canada
*
*     (250)385-6040
*     www.vividsolutions.com
*/

package com.vividsolutions.jts.algorithm.match;

import com.vividsolutions.jts.geom.*;
import com.vividsolutions.jts.algorithm.distance.*;

/**
 * Measures the degree of similarity between two {@link Geometry}s
 * using the Hausdorff distance metric.
 * The measure is normalized to lie in the range [0, 1].
 * Higher measures indicate a great degree of similarity.
 * 

* The measure is computed by computing the Hausdorff distance * between the input geometries, and then normalizing * this by dividing it by the diagonal distance across * the envelope of the combined geometries. * * @author mbdavis * */ public class HausdorffSimilarityMeasure implements SimilarityMeasure { /* public static double measure(Geometry a, Geometry b) { HausdorffSimilarityMeasure gv = new HausdorffSimilarityMeasure(a, b); return gv.measure(); } */ public HausdorffSimilarityMeasure() { } /* * Densify a small amount to increase accuracy of Hausdorff distance */ private static final double DENSIFY_FRACTION = 0.25; public double measure(Geometry g1, Geometry g2) { double distance = DiscreteHausdorffDistance.distance(g1, g2, DENSIFY_FRACTION); Envelope env = new Envelope(g1.getEnvelopeInternal()); env.expandToInclude(g2.getEnvelopeInternal()); double envSize = diagonalSize(env); // normalize so that more similarity produces a measure closer to 1 double measure = 1 - distance / envSize; //System.out.println("Hausdorff distance = " + distance + ", measure = " + measure); return measure; } public static double diagonalSize(Envelope env) { if (env.isNull()) return 0.0; double width = env.getWidth(); double hgt = env.getHeight(); return Math.sqrt(width * width + hgt * hgt); } }





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