Target recognition of floating raft aquaculture in SAR image based on statistical region merging

Author(s):  
Yuanyuan Hu ◽  
Jianchao Fan ◽  
Jun Wang
2014 ◽  
Vol 11 (2) ◽  
pp. 509-513 ◽  
Author(s):  
Fengkai Lang ◽  
Jie Yang ◽  
Deren Li ◽  
Lingli Zhao ◽  
Lei Shi

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Han Zhang ◽  
Weiping Ni ◽  
Weidong Yan ◽  
Hui Bian ◽  
Junzheng Wu

A novel fast SAR image change detection method is presented in this paper. Based on a Bayesian approach, the prior information that speckles follow the Nakagami distribution is incorporated into the difference image (DI) generation process. The new DI performs much better than the familiar log ratio (LR) DI as well as the cumulant based Kullback-Leibler divergence (CKLD) DI. The statistical region merging (SRM) approach is first introduced to change detection context. A new clustering procedure with the region variance as the statistical inference variable is exhibited to tailor SAR image change detection purposes, with only two classes in the final map, the unchanged and changed classes. The most prominent advantages of the proposed modified SRM (MSRM) method are the ability to cope with noise corruption and the quick implementation. Experimental results show that the proposed method is superior in both the change detection accuracy and the operation efficiency.


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

2021 ◽  
Vol 58 (8) ◽  
pp. 0810008
Author(s):  
史宝岱 Shi Baodai ◽  
张秦 Zhang Qin ◽  
李瑶 Li Yao ◽  
李宇环 Li Yuhuan

2018 ◽  
Vol 12 (11) ◽  
pp. 1285-1293 ◽  
Author(s):  
Meiting Yu ◽  
Siqian Zhang ◽  
Ganggang Dong ◽  
Lingjun Zhao ◽  
Gangyao Kuang

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