A new filter algorithm for spaceborne SAR images speckle reduction

被引：0

作者：

Zheng, MJ ^{[1
]}

Liu, XF ^{[1
]}

Yang, RL ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Elect, Beijing, Peoples R China

来源：

MULTISPECTRAL AND HYPERSPECTRAL IMAGE ACQUISITION AND PROCESSING | 2001年 / 4548卷

关键词：

speckle reduction; SAR; soft-morphological filter; multiple structuring elements; cascade; opening; closing; Bp; neural network; self-adaptive;

D O I：

10.1117/12.441384

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 are used to demonstrate its efficiency. The result shows that the filter can bring better effect than other filters.

引用

页码：215 / 219

页数：5

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