Signal-Dependent Noise Filtering of SAR Image

被引:0
|
作者
Ping, QingWei [1 ]
Ma, Li [2 ]
机构
[1] Beijing Inst Technol, Sch Life Sci, Beijing 100081, Peoples R China
[2] Sch Informat Engn, Beijing Inst Petrochem Technol, Beijing 102617, Peoples R China
关键词
SAR; RCS reconstruction filter; Speckle noise; Minimum Mean-Square Error; 2; DIMENSIONS; STATISTICS; CLUTTER; MODELS;
D O I
10.1117/12.902749
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 multiplicative noise model is often used to describe the speckle noise in the SAR image. This speckling process defines the conditional probability of the SAR image intensity I from RCS sigma. The MMSE algorithm of the SAR image reconstruction is basis on the multiplicative noise model. However, the MMSE algorithm does not define how calculating the look number of the SAR image. This paper advises an algorithm calculating the look number of the SAR image. This algorithm is basis on the local statistical information. Therefore, the MMSE algorithm can adapt all kinds of the SAR images. Furthermore, when the iteration MMSE is used, the MMSE algorithm can adapt the change of SAR image statistical information.
引用
收藏
页数:6
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