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Nonparametric Edge Detection in Speckled Imagery

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arxiv 1207.1915 v1 pith:SMFKDGWN submitted 2012-07-08 stat.AP cs.CVstat.ML

classification stat.APcs.CVstat.ML
keywords detectionedgeimagerymethodmethodsnonparametricproposedresults
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We address the issue of edge detection in Synthetic Aperture Radar imagery. In particular, we propose nonparametric methods for edge detection, and numerically compare them to an alternative method that has been recently proposed in the literature. Our results show that some of the proposed methods display superior results and are computationally simpler than the existing method. An application to real (not simulated) data is presented and discussed.

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    hep-ph 2025-09 conditional novelty 6.0 of 10

    An RBF neural-network expansion of the interaction factor turns Euclidean path integrals into factorized Gaussian integrals that reproduce the 1+1 phi^4 phase transition line in seconds.

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