A real-time on-board ship targets detection method for optical remote sensing satellite

Ji Yang Yu, Huang Dan, Lu Yuan Wang, Guo Jian, Yan Hua Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

21 引用 (Scopus)

摘要

Optical remote sensing satellite holds great potential for ship detection. However, it is challenging for real-time detection due to the relatively low resolution and complicated background. We propose a real-time on-board ship detection method based on statistical analysis and shape identification. First, Gaussian and median filter are used to reduce the periodical and pepper noise generated by the camera sensor system. Then, mathematical morphology processing is employed to remove the background interference and thus enhances the ship targets. Next, statistic analysis is performed on inspected and neighbor areas to distinguish the suspected ship target and pure-sea, land, islands or strong waves. Finally, features, such as the length-width ratio, circular degree of the suspected targets, are used to detect the targets. The proposed method was implemented on a single FPGA and was validated on real high-orbit optical satellite images. For an image as large as 1024×1024 of 8bits, the computation time was less than 10 seconds. The detection rate was above 90% while the false alarm rate was under 5%. The experimental results demonstrate the ability to support low-power consumption, miniaturization for the real-time ship targets detection on-board.

源语言英语
主期刊名ICSP 2016 - 2016 IEEE 13th International Conference on Signal Processing, Proceedings
编辑Yuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
出版商Institute of Electrical and Electronics Engineers Inc.
204-208
页数5
ISBN(电子版)9781509013449
DOI
出版状态已出版 - 2 7月 2016
活动13th IEEE International Conference on Signal Processing, ICSP 2016 - Chengdu, 中国
期限: 6 11月 201610 11月 2016

出版系列

姓名International Conference on Signal Processing Proceedings, ICSP
0

会议

会议13th IEEE International Conference on Signal Processing, ICSP 2016
国家/地区中国
Chengdu
时期6/11/1610/11/16

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