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
Hauptverfasser: Beauchemin, M., Thomson, K.P.B., Edwards, G.
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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.
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source IEEE Electronic Library (IEL)
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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