国产卫星多角度偏振传感器的光谱特征云检测方法研究

大气与环境光学学报 ›› 2022, Vol. 17 ›› Issue (6): 598-612.

• “新型卫星载荷大气遥感及应用” 专辑 • 上一篇下一篇

国产卫星多角度偏振传感器的光谱特征云检测方法研究

侯梦雨1,2, 李正强2∗, 谢一凇2, 乔瑞2, 谢艳清2,3, 伽丽丽2, 史正2,3

1 安徽师范大学地理与旅游学院, 安徽芜湖241003; 2 中国科学院空天信息创新研究院, 北京100101; 3 中国科学院大学, 北京100049

收稿日期:2021-11-09 修回日期:2021-12-20 出版日期:2022-11-28 发布日期:2022-12-14
通讯作者: E-mail: lizq@radi.ac.cn E-mail:lizq@radi.ac.cn
作者简介:侯梦雨(1996 - ), 女, 安徽亳州人, 硕士研究生, 主要从事云偏振遥感方面的研究。E-mail: hmy@ahnu.edu.cn
基金资助:
Supported by National Outstanding Youth Foundation of China (国家杰出青年科学基金, 41925019), Science and Technology Cooperation Project, Key R&D Plan of Hainan Province (海南省重点研发科技合作方向项目, ZDYF2020206), National Natural Science Foundation of China (国家自然科学基金, 42175147)

Research on spectral feature cloud detection method of directional polarimetric camera on Chinese satellite

HOU Mengyu1,2, LI Zhengqiang2∗, XIE Yisong2, QIAO Rui2, XIE Yanqing2,3, QIE Lili2, SHI Zheng2,3

1 College of Geography and Tourism, Anhui Normal University, Wuhu 241003, China; 2 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 3 University of Chinese Academy of Sciences, Beijing 100049, China

Received:2021-11-09 Revised:2021-12-20 Published:2022-11-28 Online:2022-12-14

摘要/Abstract

摘要： 在卫星遥感研究中, 云检测是基础环节, 其结果影响大气、地表各种参数的定量遥感, 同时也影响云微物理特性的反演。本研究针对多角度偏振卫星载荷(高分五号DPC 传感器), 建立了一种改进的光谱特征云检测算法。该算法综合利用云像元和非云像元在可见光反射率光谱、氧A 波段吸收、蓝光偏振反射率以及偏振虹等特性上的差异, 分别提出了陆地、海洋上空的云检测方案, 并进一步建立了多角度云检测融合策略以标记云、晴空和未定像元。在陆地检测中, 通过增加表观压强检测和偏振虹检测分别改进了高层薄云和低层薄云的识别; 在海洋检测中, 利用表观压强与云层的退偏特性改进了耀光区云像元的识别。全球云检测结果示例显示该算法整体检测效果较好, 同时典型区域的检测结果与MODIS 云产品也具有较好的一致性。该研究可为高分五号02 星上的多角度偏振传感器云检测提供方法基础。

关键词: 高分五号, 多角度偏振成像仪, 云检测, 表观压强, 线偏振度, 耀光

Abstract: Cloud detection is a crucial process of satellite remote sensing because of its significant impacts on the monitoring and quantitative retrieval of various atmospheric and surface parameters, and its accuracy also affects the retrieval of cloud microphysical properties. In this study, an improved cloud detection algorithm based on spectral information is established for the directional polarimetric camera (DPC) onboard Gaofen-5 satellite. Based on the differences between cloud pixels and clear pixels in the visible spectrum, the absorption characteristics of oxygen A-band, the polarized reflectance of blue band, and the polarized rainbow feature, the algorithm establishes a comprehensive cloud detection method over land and ocean area, and further proposes a multi-angle fusion strategy for the final determination of cloud detection. The recognition of high thin clouds and low thin clouds is improved by adding apparent pressure detection and polarization rainbow detection over land, respectively, and in other hand, the combination of apparent pressure and degree of linear polarization is used to improve the detection of cloud pixels in the sun-glint area over ocean. Examples of global cloud detection results of DPC have shown the effectiveness of this method, and the results of typical areas have also shown good consistency with MODIS cloud products. This research can be expected to provide a methodological basis for the cloud detection on the multi-angle and polarimetric sensor onboard the recently launched Gaofen-5(02) satellite.

Key words: Gaofen-5, directional polarimetric camera, cloud detection, apparent pressure, degree of linear polarization, sun-glint

中图分类号:

P407

侯梦雨, 李正强∗, 谢一凇, 乔瑞, 谢艳清, 伽丽丽, 史正, . 国产卫星多角度偏振传感器的光谱特征云检测方法研究[J]. 大气与环境光学学报, 2022, 17(6): 598-612.

HOU Mengyu, LI Zhengqiang∗, XIE Yisong, QIAO Rui, XIE Yanqing, QIE Lili, SHI Zheng, . Research on spectral feature cloud detection method of directional polarimetric camera on Chinese satellite[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(6): 598-612.

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国产卫星多角度偏振传感器的光谱特征云检测方法研究

Research on spectral feature cloud detection method of directional polarimetric camera on Chinese satellite

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