On nonparametric edge detection in multilook SAR images
Nonparametric alternatives based on the Wilcoxon-Mann-Whitney statistics are evaluated for edge detection in synthetic aperture radar (SAR) images. First, the power of the nonparametric test is compared to that of the ratio-of-averages detector. Then, a nonparametric change-point test is evaluated t...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 1998-09, Vol.36 (5), p.1826-1829 |
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container_title | IEEE transactions on geoscience and remote sensing |
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creator | Beauchemin, M. Thomson, K.P.B. Edwards, G. |
description | Nonparametric alternatives based on the Wilcoxon-Mann-Whitney statistics are evaluated for edge detection in synthetic aperture radar (SAR) images. First, the power of the nonparametric test is compared to that of the ratio-of-averages detector. Then, a nonparametric change-point test is evaluated to identify the true edge position inside a fixed window. |
doi_str_mv | 10.1109/36.718650 |
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subjects | Applied geophysics Councils Detectors Earth sciences Earth, ocean, space Exact sciences and technology Image edge detection Internal geophysics Probability distribution Radar detection Signal to noise ratio Statistical distributions Statistics Synthetic aperture radar Testing |
title | On nonparametric edge detection in multilook SAR images |
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