Paper
3 November 2010 Vessel detection and analysis in SAR image
Fan Wu, Chao Wang, Hong Zhang, Bo Zhang
Author Affiliations +
Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 78410O (2010) https://doi.org/10.1117/12.873219
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fan Wu, Chao Wang, Hong Zhang, and Bo Zhang "Vessel detection and analysis in SAR image", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78410O (3 November 2010); https://doi.org/10.1117/12.873219
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KEYWORDS
Synthetic aperture radar

Sensors

Image analysis

Image enhancement

Image segmentation

Geographic information systems

Polarization

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