Application of Single-Band Brightness Variance Ratio to the Interference Dissociation of Cloud for Satellite Data
QU Wei-ping1, 2, LIU Wen-qing1, LIU Jian-guo1, LU Yi-huai1, ZHU Jun1, QIN Min1, LIU Cheng3
1. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China 2. Department of the Computer Science and Technology, Anhui University of Science and Technology, Huainan 232001, China 3. Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
Abstract：In satellite remote-sensing detection, cloud as an interference plays a negative role in data retrieval. How to discern the cloud fields with high fidelity thus comes as a need to the following research. A new method rooting in atmospheric radiation characteristics of cloud layer, in the present paper, presents a sort of solution where single-band brightness variance ratio is used to detect the relative intensity of cloud clutter so as to delineate cloud field rapidly and exactly, and the formulae of brightness variance ratio of satellite image, image reflectance variance ratio, and brightness temperature variance ratio of thermal infrared image are also given to enable cloud elimination to produce data free from cloud interference. According to the variance of the penetrating capability for different spectra bands, an objective evaluation is done on cloud penetration of them with the factors that influence penetration effect. Finally, a multi-band data fusion task is completed using the image data of infrared penetration from cirrus nothus. Image data reconstruction is of good quality and exactitude to show the real data of visible band covered by cloud fields. Statistics indicates the consistency of waveband relativity with image data after the data fusion.
曲卫平1，2,刘文清1, 刘建国1,陆亦怀1, 朱军1, 秦敏1,刘诚3 . 应用单波段亮度变化率获取无云干扰的卫星数据[J]. 光谱学与光谱分析, 2006, 26(11): 2011-2015.
QU Wei-ping1, 2, LIU Wen-qing1, LIU Jian-guo1, LU Yi-huai1, ZHU Jun1, QIN Min1, LIU Cheng3 . Application of Single-Band Brightness Variance Ratio to the Interference Dissociation of Cloud for Satellite Data . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(11): 2011-2015.
