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30 October 2009 Automatic ship detection in HJ-1A satellite data
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951G (2009) https://doi.org/10.1117/12.832745
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
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Peng Chen, Weigen Huang, Aiqin Shi, Huaguo Zhang, and Juan Wang "Automatic ship detection in HJ-1A satellite data", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951G (30 October 2009); https://doi.org/10.1117/12.832745
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