SAR Image Edge Detection Using Sparse Representation and LS-SVM

2014 ◽  
Vol 11 (11) ◽  
pp. 3941-3947 ◽  
Author(s):  
Shuaiqi Liu
2017 ◽  
Vol 22 (8) ◽  
pp. 2507-2515 ◽  
Author(s):  
Xiaole Ma ◽  
Shuaiqi Liu ◽  
Shaohai Hu ◽  
Peng Geng ◽  
Ming Liu ◽  
...  

2007 ◽  
Author(s):  
Xinyan Yang ◽  
Licheng Jiao ◽  
Jiajun Wang

Author(s):  
Lei Jiang Lei Jiang ◽  
Xianqing Ling Xianqing Ling ◽  
Jian Geng Jian Geng ◽  
Yongsheng Cheng Yongsheng Cheng

2010 ◽  
Vol 46 (2) ◽  
pp. 167 ◽  
Author(s):  
G.Y. Zhou ◽  
Y. Cui ◽  
Y.L. Chen ◽  
J. Yang ◽  
H.F. Rashvand

2013 ◽  
Vol 291-294 ◽  
pp. 2859-2862
Author(s):  
Lian Fei Duan ◽  
Chuan Ting Wei ◽  
Jing Wang ◽  
Yuan Wen Dai

Aimed at the problem of image blur while denoising in SAR image, a new denoising method by reserving edges based on MSP-ROA operator is presented after analyzing the image edge detection. The SAR image edges are well reserved while denoising for combining denoising with the edge detection. Experiment results show that the method is feasible and effective.


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