Moving ships target detection algorithms for GAOFEN-4 sequence images

Zhiwei Zhao; Fengqi Xiao; Xianghao Kong; Jianquan Li; Jie Zang

doi:10.1117/12.2580045

5 November 2020 Moving ships target detection algorithms for GAOFEN-4 sequence images

Zhiwei Zhao, Fengqi Xiao, Xianghao Kong, Jianquan Li, Jie Zang

Proceedings Volume 11570, AOPC 2020: Telescopes, Space Optics, and Instrumentation; 115700P (2020) https://doi.org/10.1117/12.2580045
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

GAOFEN-4 is a high-resolution optical remote sensing satellite on geosynchronous orbit, which has been found the potential to monitor the moving ships on the sea. Some classic moving ships target detection algorithms are studied. A new algorithm is proposed for the sequence images of GAOFEN-4 satellite, which can effectively suppress the interference of noise on moving ships target detection by performing the defogging of dark channel prior and a moving detection with visual background extractor. Some experiments are executed with real sequence images. It shows that the new algorithm is better than classic target detection algorithms for the sequence images.

Citation Download Citation

Zhiwei Zhao, Fengqi Xiao, Xianghao Kong, Jianquan Li, and Jie Zang "Moving ships target detection algorithms for GAOFEN-4 sequence images", Proc. SPIE 11570, AOPC 2020: Telescopes, Space Optics, and Instrumentation, 115700P (5 November 2020); https://doi.org/10.1117/12.2580045

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