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Proceedings Paper

Vessel detection and analysis in SAR image
Author(s): Fan Wu; Chao Wang; Hong Zhang; Bo Zhang
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Paper Abstract

A vessel detection method based on gravity enhancement was applied to Synthetic Aperture Radar (SAR) images. With the method, targets' pixels were enhanced by the interactions between themselves and their neighbors, while the speckle and background clutter were suppressed after enhancement as well as the contrasts between targets and clutter had been greatly increased. Then vessels were detected with the improved K-CFAR detector. East China Sea, off the east coast of Shanghai, China, was chosen as the experiment region. Fine resolution mode and scanSAR mode ALOS PALSAR data were utilized to validate the method. Experiment results show the method proposed in this paper have good ability for vessel detection in SAR image.

Paper Details

Date Published: 3 November 2010
PDF: 6 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78410O (3 November 2010); doi: 10.1117/12.873219
Show Author Affiliations
Fan Wu, Ctr. for Earth Observation and Digital Earth (China)
Chao Wang, Ctr. for Earth Observation and Digital Earth (China)
Hong Zhang, Ctr. for Earth Observation and Digital Earth (China)
Bo Zhang, Ctr. for Earth Observation and Digital Earth (China)


Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)

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