Study of Cloud Detection Method for Infrared Hyper-spectral Data
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Institute of Meteorology and Oceanographic,PLA University of Science and Technology,Institute of Meteorology and Oceanographic,PLA University of Science and Technology,Institute of Meteorology and Oceanographic,PLA University of Science and Technology

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    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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Guo Hai-Long, Du Hua-Dong, He Ming-Yuan. Study of Cloud Detection Method for Infrared Hyper-spectral Data[J]. Infrared,2013,34(2):26~32

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