An automatic ship detection scheme in open ocean for Synthetic Aperture Radar images

2009 ◽  
Author(s):  
Weibin Li ◽  
Bormin Huang ◽  
Mingyi He
Keyword(s):  
Synthetic Aperture Radar ◽  
Open Ocean ◽  
Synthetic Aperture ◽  
Detection Scheme ◽  
Ship Detection ◽  
Radar Images ◽  
Aperture Radar

On Semiparametric Clutter Estimation for Ship Detection in Synthetic Aperture Radar Images

2013 ◽  
Vol 51 (5) ◽  
pp. 3170-3180 ◽  
Author(s):  
Yi Cui ◽  
Jian Yang ◽  
Yoshio Yamaguchi ◽  
Gulab Singh ◽  
Sang-Eun Park ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Ship Detection ◽  
Radar Images ◽  
Aperture Radar

scholarly journals Ship Detection Based on Information Theory and Segmentation from Synthetic Aperture Radar (SAR) Images

2020 ◽  
Vol 8 (6) ◽  
pp. 2513-2517
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Satellite Images ◽  
Synthetic Aperture ◽  
Morphological Operations ◽  
Sar Images ◽  
Ship Detection ◽  
Radar Images ◽  
Vessel Detection ◽  
Aperture Radar

Ship detection is a procedure which asserts in fields such as ocean and sea management, vessel detection, marine superintendence, and rein, and also can be applied to exclude extralegal actions. Remote sensing can be utilized as a potential tool for zonular and universal monitoring to attain the forenamed goals. Among the radar images, the precious datum from Synthetic Aperture Radar (SAR) is playing a serious duty in remote sensing. Howsoever, vessel detecting in heterogeneous and strong clutter is still a question in this regard. The letter points to a ship detection scheme for SAR images exploiting a segmentation-based morphological operation using entropy. In the presented scheme, the morphological operations are adopted to intercept the background and foreground in the satellite images. The method was implemented and tested on the homogenous, heterogeneous and strong clutter SAR images and the results are promising and showing that the proposed method can improve the vessel detection from homogenous and heterogeneous and strong clutter satellite images

scholarly journals A Novel Salient Feature Fusion Method for Ship Detection in Synthetic Aperture Radar Images

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 215904-215914
Author(s):  
Gang Zhang ◽  
Zhi Li ◽  
Xuewei Li ◽  
Canbin Yin ◽  
Zengkai Shi
Keyword(s):  
Synthetic Aperture Radar ◽  
Feature Fusion ◽  
Salient Feature ◽  
Synthetic Aperture ◽  
Fusion Method ◽  
Ship Detection ◽  
Radar Images ◽  
Aperture Radar
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