New filter algorithm for spaceborne SAR image speckle reduction

Mingjie Zheng; Xianfeng Liu; Ruliang Yang

doi:10.1117/12.441384

25 September 2001 New filter algorithm for spaceborne SAR image speckle reduction

Mingjie Zheng, Xianfeng Liu, Ruliang Yang

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441384
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

The conventional filters can't achieve good effects in reducing speckle for high resolution single-look spaceborne synthetic aperture radar(SAR) images. In this paper an algorithm on efficiently reducing speckle is developed. This algorithm uses multiple structuring elements to replace common structuring elements so as to create an omni-directional multiple structuring elements soft-morphological filter whose weight values can be obtained through the improved impulse Bp neural network(NN) self-adaptive method. The performance of this algorithm is analyzed in detail. Finally, the raw data of RADARSAT is used to demonstrate its efficiency. The result shows that the filter can bring better effect than other filters.

Citation Download Citation

Mingjie Zheng, Xianfeng Liu, and Ruliang Yang "New filter algorithm for spaceborne SAR image speckle reduction", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441384

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