Texture descriptors for robust SAR image segmentation

2022 ◽  
Vol 15 (04) ◽  
Author(s):  
Andrea Rey ◽  
Juliana Gambini ◽  
Claudio Delrieux
2021 ◽  
Vol 147 ◽  
pp. 115-123
Author(s):  
Yinyin Jiang ◽  
Ming Li ◽  
Peng Zhang ◽  
Xiaofeng Tan ◽  
Wanying Song

2000 ◽  
Vol 147 (3) ◽  
pp. 134 ◽  
Author(s):  
D. Stewart ◽  
D. Blacknell ◽  
A. Blake ◽  
R. Cook ◽  
C. Oliver

2013 ◽  
Vol 798-799 ◽  
pp. 761-764
Author(s):  
Ming Xia Xiao

A new technique that combines maximum variance method and morphology was presented for Synthetic Aperture Radar (SAR) image segmentation in target detection. Firstly, using the first-order differential method to enhance the original image for highlighting edge details of the image; then using the maximum variance method to calculate the gray threshold and segment the image; lastly, the mathematical morphology was used to processing the segmented image, which could prominently improve the segmentation effects. Experiments show that this algorithm can obtain accurate segmentation results, and have a good effect on noise suppression, edge detail protection and operation time.


Author(s):  
Deliang Xiang ◽  
Fan Zhang ◽  
Wei Zhang ◽  
Tao Tang ◽  
Dongdong Guan ◽  
...  

2008 ◽  
Vol 46 (7) ◽  
pp. 2126-2136 ◽  
Author(s):  
Xiangrong Zhang ◽  
Licheng Jiao ◽  
Fang Liu ◽  
Liefeng Bo ◽  
Maoguo Gong

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