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Content Provider | IEEE Xplore Digital Library |
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Author | Biao Hou Wei Yang Shuang Wang Xiaojin Hou |
Copyright Year | 2013 |
Description | Author affiliation: DFH Satellite Co. Ltd., Beijing, China (Xiaojin Hou) || Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xian, China (Biao Hou; Wei Yang; Shuang Wang) |
Abstract | This paper proposes a novel Synthetic Aperture Radar (SAR) image ship detection method based on human visual attention mechanism. Firstly, we obtain water segmentation image by combining the bottom-up and the top-down visual attention mechanisms. Secondly, we detect ship targets based on bottom-up the visual attention mechanism. The interested regions are extracted by measuring the visual conspicuity of each water regions. Then, the ships targets are detected in the interested regions by the k-means clustering algorithm. Finally, real SAR image is used to test our algorithm. Besides, we analysis the ship detection results using different band. The experiment results indicate that our algorithm can effectively detect ship targets from SAR images and C-band is superior to L-band in SAR image ship detection. |
Sponsorship | IEEE Geosci. Remote Sens. Soc. |
Starting Page | 2003 |
Ending Page | 2006 |
File Size | 277848 |
Page Count | 4 |
File Format | |
ISBN | 9781479911141 |
ISSN | 21536996 |
DOI | 10.1109/IGARSS.2013.6723202 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-21 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Marine vehicles Synthetic aperture radar Visualization Remote sensing Feature extraction Image segmentation Algorithm design and analysis Ship Detection Visual Attention Synthetic Aperture Radar (SAR) Saliency Map |
Content Type | Text |
Resource Type | Article |
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