A NOVEL METHOD OF SPECKLE REDUCTION AND ENHANCEMENT FOR SAR IMAGE

被引：0

作者：

Shi, Hao ^{[1
]}

Chen, Liang ^{[2
]}

Zhuang, Yin ^{[2
]}

Yang, Jian ^{[1
]}

Yang, Zhu ^{[2
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China

[2] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

SAR image preprocessing; Speckle reduction; Image detail enhancement; TRANSFORM; NOISE;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A new speckle reduction algorithm is presented in this paper to improve the visualization of synthetic aperture radar (SAR) images. The algorithm contains two steps. First, we propose a speckle reduction filter. This filter use different smoothing effect according to scene of sub-window. So it can maintain the details while noise suppression. Second, we propose a method to enhance the details. We select a neighborhood of pixel and divide it into homogeneous and heterogeneous. Then we use different reconstruction strategy to enhance the texture. After these steps, the speckle noise of SAR images has been decreased and the texture details have been enhanced at the same time. Experiments validate the algorithm with good performance.

引用

页码：3128 / 3131

页数：4

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