Remote sensing image ship target detection method based on visual attention model

Author(s):  
Yuejiao Sun ◽  
Wuhu Lei ◽  
Xiaodong Ren
Author(s):  
Z. F. Shao ◽  
W. X. Zhou ◽  
Q. M. Cheng

Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the existence of semantic gap. In order to improve retrieval precision, visual attention model is used to extract salient objects from image according to their saliency. Then color and texture features are extracted from salient objects and regarded as feature vectors for image retrieval. Experimental results demonstrate that our method improves retrieval results and obtains higher precision.


2015 ◽  
Vol 18 (2) ◽  
pp. 541-548 ◽  
Author(s):  
Xiaolu Song ◽  
Guojin He ◽  
Zhaoming Zhang ◽  
Tengfei Long ◽  
Yan Peng ◽  
...  

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