The application analysis of the multi-angle polarization technique for ocean color remote sensing

Yongchao Zhang; Jun Zhu; Huan Yin; Keli Zhang

doi:10.1117/12.2266657

10 February 2017 The application analysis of the multi-angle polarization technique for ocean color remote sensing

Yongchao Zhang, Jun Zhu, Huan Yin, Keli Zhang

Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 1025030 (2017) https://doi.org/10.1117/12.2266657
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China

Abstract

The multi-angle polarization technique, which uses the intensity of polarized radiation as the observed quantity, is a new remote sensing means for earth observation. With this method, not only can the multi-angle light intensity data be provided, but also the multi-angle information of polarized radiation can be obtained. So, the technique may solve the problems, those could not be solved with the traditional remote sensing methods. Nowadays, the multi-angle polarization technique has become one of the hot topics in the field of the international quantitative research on remote sensing. In this paper, we firstly introduce the principles of the multi-angle polarization technique, then the situations of basic research and engineering applications are particularly summarized and analysed in 1) the peeled-off method of sun glitter based on polarization, 2) the ocean color remote sensing based on polarization, 3) oil spill detection using polarization technique, 4) the ocean aerosol monitoring based on polarization. Finally, based on the previous work, we briefly present the problems and prospects of the multi-angle polarization technique used in China’s ocean color remote sensing.

Citation Download Citation

Yongchao Zhang, Jun Zhu, Huan Yin, and Keli Zhang "The application analysis of the multi-angle polarization technique for ocean color remote sensing", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 1025030 (10 February 2017); https://doi.org/10.1117/12.2266657

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