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Proceedings Paper

Automatic ship detection in HJ-1A satellite data
Author(s): Peng Chen; Weigen Huang; Aiqin Shi; Huaguo Zhang; Juan Wang
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Paper Abstract

In this paper, we use HJ-1A satellite data to ship detection and a ship target detection algorithm based on optical remote sensing images of moving window and entropy Maximum is presented. The method uses a moving window to get ship candidates and the Shannon theory to image segmentation. Basic principle is that the entropy of the image segmented by the threshold value is max. After completing the image segmentation, an automatic discriminator is used. The identify algorithm is used to get rid of the false alarm caused by spray, cloudy and solar flare. Some feature is considered include area, length ratio and extent. The detection results indicate that most ship target can be detected without regard to cloudy.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951G (30 October 2009); doi: 10.1117/12.832745
Show Author Affiliations
Peng Chen, Second Institute of Oceanography, State Oceanic Administration (China)
Zhejiang Univ. (China)
Weigen Huang, Second Institute of Oceanography, State Oceanic Administration (China)
Aiqin Shi, Second Institute of Oceanography, State Oceanic Administration (China)
Huaguo Zhang, Second Institute of Oceanography, State Oceanic Administration (China)
Juan Wang, Second Institute of Oceanography, State Oceanic Administration (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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