/* * The JCS Conflation Suite (JCS) is a library of Java classes that * can be used to build automated or semi-automated conflation solutions. * * Copyright (C) 2003 Vivid Solutions * * 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. * * 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.jcs.conflate.polygonmatch; import com.vividsolutions.jump.feature.Feature; import com.vividsolutions.jump.feature.FeatureCollection; import java.util.ArrayList; import java.util.Arrays; import java.util.Iterator; /** * Composes several FeatureMatchers into one. Candidate features are whittled * down by applying each FeatureMatcher. * <P> * Note: Only the last FeatureMatcher's scores are preserved; the other scores * are lost. However, this behaviour should be acceptable for most situations * Typically you use the Chained Matcher to do some initial filtering before * the "real" matching. The scores from this initial filtering are usually * ignored (they're usually just 1 or 0, as in the case of WindowFilter). */ public class ChainMatcher implements FeatureMatcher { /** * Creates a ChainMatcher composed of the given matchers. * @param matchers the matchers to link together */ public ChainMatcher(FeatureMatcher[] matchers) { this.matchers.addAll(Arrays.asList(matchers)); } private ArrayList matchers = new ArrayList(); /** * Applies the FeatureMatchers, in sequence, to the list of candidates. * @param target the feature to match * @param candidates the features to search for matches * @return the candidates surviving all the FeatureMatchers. The scores are * those returned by the last FeatureMatcher. */ @Override public Matches match(Feature target, FeatureCollection candidates) { Matches survivors = new Matches( candidates.getFeatureSchema(), candidates.getFeatures()); for (Iterator i = matchers.iterator(); i.hasNext(); ) { FeatureMatcher matcher = (FeatureMatcher) i.next(); survivors = matcher.match(target, survivors); } return survivors; } }