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Adaptive speckle filters and scene heterogeneity

IEEE Transactions on Geoscience and Remote Sensing · 1990 · Vol. 28(6) · pp. 992–1000
A. LopesR. TouziE. Nezry

Abstract

The presence of speckle in radar images makes the radiometric and textural aspects less efficient for class discrimination. Many adaptive filters have been developed for speckle reduction, the most well known of which are analyzed. It is shown that they are based on a test related to the local coefficient of variation of the observed image, which describes the scene heterogeneity. Some practical criteria are introduced to modify the filters in order to make them more efficient. The filters are tested on a simulated synthetic aperture radar (SAR) image and an SAR-580 image. As was expected, the new filters perform better, i.e. they average the homogeneous areas better and preserve texture information, edges, linear features, and point target responses better at the same time. Moreover, they can be adapted to features other than the coefficient of variation to reduce the speckle while preserving the corresponding information.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Image and Signal Denoising MethodsAdvanced Image Fusion TechniquesSynthetic Aperture Radar (SAR) Applications and TechniquesSpeckle patternSynthetic aperture radarComputer scienceArtificial intelligenceComputer visionSpeckle noisePoint targetRadar imagingRadarRemote sensing
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907
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4.84
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References
Digital Image Enhancement and Noise Filtering by Use of Local Statistics
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1980 · 2,653 citations
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