Ship target segmentation and detection in complex optical remote sensing image based on component tree characteristics discrimination

Wei Zhang; Chunjiang Bian; Xiao Zhao; Qingyu Hou

doi:10.1117/12.2000688

11 December 2012 Ship target segmentation and detection in complex optical remote sensing image based on component tree characteristics discrimination

Wei Zhang, Chunjiang Bian, Xiao Zhao, Qingyu Hou

Author Affiliations +

Proceedings Volume 8558, Optoelectronic Imaging and Multimedia Technology II; 85582F (2012) https://doi.org/10.1117/12.2000688
Event: Photonics Asia, 2012, Beijing, China

Abstract

Under the application background of sea-surface target surveillance based on optical remote sensing image, automatic sea-surface ship target recognition with complicated background is discussed in this paper. The technology this article focused on is divided into two parts, feature classification training and component class discrimination. In the feature classification training process, large numbers of sample images are used for feature selection and classifier determination of ship targets and false targets. Component tree characteristics discrimination achieves extraction of suspected target areas from complicated remote sensing image, and their features are entered to Fisher for ship target recognition. Experimental results show that the method discussed in this paper can deal with complex sea surface environment, and can avoid the interference of cloud cover, sea clutter and islands. The method can effectively achieve ship target recognition in complex sea background.

Citation Download Citation

Wei Zhang, Chunjiang Bian, Xiao Zhao, and Qingyu Hou "Ship target segmentation and detection in complex optical remote sensing image based on component tree characteristics discrimination", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85582F (11 December 2012); https://doi.org/10.1117/12.2000688

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