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Proceedings Paper

Statistical ratio rank-ordered differences filter for radar speckle removal
Author(s): Zhengjun Liu; Aixia Liu; Changyao Wang; Shuhua Qi
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Paper Abstract

The commonly presented speckle in Synthetic Aperture Radar (SAR) imagery makes it very difficult to be visually interpreted or directly used for quantitative application. Therefore, speckle reduction is a prerequisite for many SAR image processing and application projects. In this paper, we discuss a non-linear adaptive algorithm in detail. The key point of the algorithm is to sort the pixel values within a local window, to compute the sequences of standard deviations and means, and then to take the normalized differences between two successive standard deviation/mean ratios. Speckle detection is achieved by thresholding these differences. Speckle noise suppression is achieved by replacing the pixel’s digital value with rank-ordered local statistics. Experimental results shows that the proposed method demonstrates promising performance in comparison to some conventional SAR speckle filters in terms of the edge preservation, mean preservation, variance reduction and the visual effect.

Paper Details

Date Published: 5 February 2004
PDF: 8 pages
Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.513565
Show Author Affiliations
Zhengjun Liu, Institute of Remote Sensing Applications (China)
Institute for Photogrammetry and Remote Sensing (China)
Aixia Liu, Institute of Remote Sensing Applications (China)
Changyao Wang, Institute of Remote Sensing Applications (China)
Shuhua Qi, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 5238:
Image and Signal Processing for Remote Sensing IX
Lorenzo Bruzzone, Editor(s)

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