Atmospheric Correction Methods for GF-1 WFV1 Data in Hazy Weather |
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| Authors: | Zheng Wang Junshi Xia Lihui Wang Zhihua Mao Qun Zeng Liqiao Tian Liangliang Shi |
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| Institution: | 1.School of Geographic and Oceanographic Sciences,Nanjing University,Nanjing,China;2.Collaborative Innovation Center for the South China Sea Studies,Nanjing University,Nanjing,China;3.States Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography,State Oceanic Administration,Hangzhou,China;4.Research Center for Advanced Science and Technology,The University of Tokyo,Tokyo,Japan;5.Institute of Geodesy and Geophysics,Chinese Academy of Sciences,Wuhan,China;6.Editorial Department of Journal of Central China Normal University,Wuhan,China;7.The College of Urban and Environmental Sciences,Central China Normal University,Wuhan,China;8.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University,Wuhan,China;9.Ocean College,Zhejiang University,Hangzhou,China |
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| Abstract: | Increasing hazy weather in the eastern area of China limits the potential application of high-resolution satellite data and poses a huge challenge for the atmospheric correction of remote sensing images. Consequently, it is necessary to find the most suitable atmospheric correction method under hazy condition. In this study, five kinds of atmospheric correction models, including 6S, COST, FLAASH, QUAC, and ATCOR2, are applied to the GaoFen-1 Wild Field Camera (GF-1 WFV1) data in the eastern area of China, and examined by both quantitative and qualitative analyses using the measured spectrum data. Experimental results indicated that ATCOR2 achieves the best performance among the atmospheric correction methods qualitatively and quantitatively. Hence, specifically for the study area and GF-1 WFV1 dataset, ATCOR2 is the most suitable atmospheric correction approach under hazy in the eastern area of China. |
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