An adaptive order-statistics filter for SAR images
作者:
L. ALPARONE,
S. BARONTI,
R. CARLÀ,
C. PUGLISI,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1996)
卷期:
Volume 17,
issue 7
页码: 1357-1365
ISSN:0143-1161
年代: 1996
DOI:10.1080/01431169608948708
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
An algorithm based on local order statistics is proposed for adaptive reduction of speckle noise in synthetic aperture radar (SAR) images. A selective smoothing is obtained by replacing a pixel value belonging to either of the tails of the local histogram by its percentile, whose area is adaptively defined by a Gaussian function of the Local Variation Coefficient. The filter can fit the actual noise level and preserves structures, textures, and point targets, as well as the local mean without introducing any blur on the edges, mostly due to itsclosureproperty. Comparisons with algorithms suitable for speckle smoothing are performed on true SAR images and show selective signal-to-noise ratio (SNR) enhancements.
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