Ship wake CFAR detection algorithm in SAR images based on length normalized scan

Author(s):  
Jie Nan ◽  
Chao Wang ◽  
Bo Zhang ◽  
Fan Wu ◽  
Hong Zhang ◽  
...  
2018 ◽  
Vol 89 ◽  
pp. 263-270 ◽  
Author(s):  
Siqi Meng ◽  
Kan Ren ◽  
Dongming Lu ◽  
Guohua Gu ◽  
Qian Chen ◽  
...  

2011 ◽  
Vol 8 (4) ◽  
pp. 681-685 ◽  
Author(s):  
Ai Jiaqiu ◽  
Qi Xiangyang ◽  
Yu Weidong ◽  
Deng Yunkai ◽  
Liu Fan ◽  
...  

Author(s):  
Priya R. Kamath ◽  
Kedarnath Senapati ◽  
P. Jidesh

Speckles are inherent to SAR. They hide and undermine several relevant information contained in the SAR images. In this paper, a despeckling algorithm using the shrinkage of two-dimensional discrete orthonormal S-transform (2D-DOST) coefficients in the transform domain along with shock filter is proposed. Also, an attempt has been made as a post-processing step to preserve the edges and other details while removing the speckle. The proposed strategy involves decomposing the SAR image into low and high-frequency components and processing them separately. A shock filter is used to smooth out the small variations in low-frequency components, and the high-frequency components are treated with a shrinkage of 2D-DOST coefficients. The edges, for enhancement, are detected using a ratio-based edge detection algorithm. The proposed method is tested, verified, and compared with some well-known models on C-band and X-band SAR images. A detailed experimental analysis is illustrated.


Author(s):  
Wang Jianguo ◽  
Li Linjie ◽  
Yang Jinhao ◽  
Huang Shunji
Keyword(s):  

2020 ◽  
Vol 58 (3) ◽  
pp. 1665-1677 ◽  
Author(s):  
Oktay Karakus ◽  
Igor Rizaev ◽  
Alin Achim

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