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红外高光谱资料云检测方法研究

Study of Cloud Detection Method for Infrared Hyper-spectral Data

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摘要

从红外高光谱资料的特点和应用现状出发,通过用晴空时观测光谱和背景光谱偏差矢量最小原理研究了特定云状下不同云量、云高和云水含量对观测光谱的影响,提出了一种新的红外高光谱资料云检测方法。从云污染视场中检测出不受云影响的通道,并用通过辐射传输模式(Radiative Transfer for (A)TOVS, RTTOV)模拟的大气红外探测器(Atmospheric Infrared Sounder, AIRS)资料和实测数据进行了方法可行性和有效性验证。结果表明,该方法能有效地提高云污染区域红外高光谱资料的利用率,可为有云覆盖情况下的大气参数反演提供有效途径。

Abstract

Starting from the characteristics and application status of infrared hyper-spectral data, the influences of different cloud amount, cloud height and water content on the observed spectra under different cloudy conditions are studied according to the minimum vector deviation theory of the observed spectra and background spectra under clear sky conditions. Then, a new method for detecting cloud in infrared hyper-spectral data is proposed. The channels which are not affected by cloud are detected in the cloud-polluted field of view. The feasibility and validity of the method are verified by using both the AIRS’s data simulated by a RTTOV model and the measured data. The result shows that this method can effectively improve the utilization of infrared hyper-spectral data in cloud-polluted areas and can provide an effective approach to the inversion of atmospheric parameters under cloudy conditions.

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中图分类号:TP7

DOI:10.3969/j.issn.1672-8785.2014.02.005

基金项目:国家自然科学基金(41105012)

收稿日期:2013-11-04

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作者单位    点击查看

郭海龙:中国人民解放军理工大学气象海洋学院, 江苏 南京 211101
何明元:中国人民解放军理工大学气象海洋学院, 江苏 南京 211101
杜华栋:中国人民解放军理工大学气象海洋学院, 江苏 南京 211101
董毅:中国人民解放军理工大学气象海洋学院, 江苏 南京 211101

联系人作者:郭海龙(guohailong07@gmail.com)

备注:郭海龙(1989-),男(藏),甘肃卓尼人,硕士研究生,主要研究卫星红外高光谱资料反演与应用。

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【3】Matricardi M.The Inclusion of Aerosols and Clouds in RTIASI,the ECMWF fast radiative transfer model for the infrared atmospheric sounding interferometer[M]. European Centre for Medium-Range Weather Forecasts 2005.

【4】Young I,Zhang Y,Readme document for AIRS Level-2 Version 5 Cloud-cleared IR Radiance[R]. National Aeronautics and Space Administration,2009.

【5】McNally A P, Watts P D. A Cloud Detection Algorithm for High-spectral-resolution Infrared Sounders[J].Quarterly Journal of the Royal Meteorological Society, 2003, 129(595): 3411-3423.

【6】Hocking J, Rayer P, Saunders R, et al. RTTOV v10 Users Guide [G]. NWP SAF, EUMETSAT, 2011.

【7】Saunders R. RTTOV v10 Top Level Design [G].NWPSAF-MO-DS-019,2010.

引用该论文

GUO Hai-long,HE Ming-yuan,DU Hua-dong,DONG Yi. Study of Cloud Detection Method for Infrared Hyper-spectral Data[J]. INFRARED, 2014, 35(2): 26-32

郭海龙,何明元,杜华栋,董毅. 红外高光谱资料云检测方法研究[J]. 红外, 2014, 35(2): 26-32

被引情况

【1】徐冬宇,厉小润,赵辽英,舒锐,唐琪佳. 基于光谱分析和动态分形维数的高光谱遥感图像云检测. 激光与光电子学进展, 2019, 56(10): 101003--1

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