Statistical ratio rank-ordered differences filter for radar speckle removal

Zhengjun Liu; Aixia Liu; Changyao Wang; Shuhua Qi

doi:10.1117/12.513565

5 February 2004 Statistical ratio rank-ordered differences filter for radar speckle removal

Zhengjun Liu, Aixia Liu, Changyao Wang, Shuhua Qi

Proceedings Volume 5238, Image and Signal Processing for Remote Sensing IX; (2004) https://doi.org/10.1117/12.513565
Event: Remote Sensing, 2003, Barcelona, Spain

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.

Citation Download Citation

Zhengjun Liu, Aixia Liu, Changyao Wang, and Shuhua Qi "Statistical ratio rank-ordered differences filter for radar speckle removal", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); https://doi.org/10.1117/12.513565

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