Speckle Noise Reduction Technique for SAR Images using SRAD and Gradient Domain Guided Image Filtering

被引：1
|
作者：
Choi, Hyunho [1 ]
Jeong, Jechang [1 ]
机构：
[1] Hanyang Univ, Dept Elect & Comp Engn, 222 Wangsimni Ro, Seoul 04763, South Korea
来源：
INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2020 | 2020年 / 11515卷
关键词：
Speckle noise; speckle reducing anisotropic diffusion filter; gradient domain guided image filtering; synthetic aperture radar images; image quality; EDGE-DETECTION;
D O I：
10.1117/12.2566244
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a novel algorithm is proposed using speckle reducing anisotropic diffusion (SRAD) and gradient domain guided image filtering (GDGIF) to reduce speckle in synthetic aperture radar (SAR) images. SRAD is suitable for reducing multiplicative noise in SAR images because it can directly process log-compressed data. Since GDGIF has edge-aware weighting, it is adaptively applied to SRAD result images to additionally reduce speckle noise. Experimental results demonstrate that the proposed algorithm, compared to existing filtering methods, shows excellent speckle noise reduction performance and a low computational complexity.
引用
收藏
页数：6
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