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Proceedings Paper

Illicit vessel identification in inland waters using SAR image
Author(s): Fengli Zhang; Bingfang Wu; Lei Zhang; Huiping Huang; Yichen Tian
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Paper Abstract

Synthetic Aperture Radar remote sensing has been effectively used in water compliance and enforcement, especially in ship detection, but it is still very difficult to classify or identify vessels in inland water only using existing SAR image. Nevertheless some experience knowledge can help, for example waterway channel is of great significance for water traffic management and illegal activity monitoring. It can be used for judging a vessel complying with traffic rules or not, and also can be used to indicate illicit fishing vessels which are usually far away from navigable waterway channel. For illicit vessel identification speed and efficiency are very important, so it will be significant if we can extract waterway channel directly from SAR images and use it to identify illicit vessels. The paper first introduces the modified two-parameter CFAR algorithm used to detect ship targets in inland waters, and then uses principal curves and neural networks to extract waterway channel. Through comparing the detection results and the extracted waterway channel those vessels not complying with water traffic rules or potential illicit fishing vessels can be easily identified.

Paper Details

Date Published: 28 October 2006
PDF: 8 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64190S (28 October 2006); doi: 10.1117/12.712973
Show Author Affiliations
Fengli Zhang, Institute of Remote Sensing Applications (China)
Bingfang Wu, Institute of Remote Sensing Applications (China)
Lei Zhang, Institute of Remote Sensing Applications (China)
Huiping Huang, Institute of Remote Sensing Applications (China)
Yichen Tian, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

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