Examples of HausdorffSimilarityMeasure

com.vividsolutions.jts.algorithm.match.HausdorffSimilarityMeasure
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

Examples of com.vividsolutions.jts.algorithm.match.HausdorffSimilarityMeasure

        double dx = de.getMinX() - re.getMinX();
        double dy = de.getMinY() - re.getMinY();


        Polygon cloned = (Polygon) displaced.clone();
        cloned.apply(AffineTransformation.translationInstance(-dx, -dy));
        if (1 - new HausdorffSimilarityMeasure().measure(cloned, reference) > EPS) {
            return null;
        } else {
            return new double[] { dx, dy };
        }
    }

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