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《Acta Scicentiarum Naturalum Universitis Pekinesis》 2004-04
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6S Model Based Atmospheric Correction of Visible and Near-Infrared Data and Sensitivity Analysis

GHULAM Abduwasit QIN Qiming ZHU Lijiang (Institute of Remote Sensing and GIS, Peking University, Beijing, 100871)  
Due to the distortions and noises caused by the presence of the atmosphere on the Sun target Sensor path, the space-based and airborne remote sensing information in the solar spectral range do not directly characterize the surface objects. It becomes serious impediments for the quantitative analysis and measurement of resources and environment. Ergo, the atmospheric effects are necessary to be removed, especially in land surface remote sensing and applications. An operational method of correcting visible and near infrared data for atmospheric effects is presented. The method, which is based on 6S (Second Simulation of Satellite Signal in the Solar Spectrum) and isochronous meteorological information on sensing time, is used to atmospheric correction of ETM+ visible and near infrared bands. Sensitivity analysis is conducted by comparisons of corrected and uncorrected reflectance data including spectral brightness and normalized difference vegetation index (NDVI). The research shows that 6S atmospheric simulation model reduces the uncertainties in the process of electromagnetic wave transmission and eliminates effectively the perturbation from geometric and system corrected remote sensing imagery.
【Fund】: 国家高新技术研究发展计划课题 (2 0 0 1AA1 35 1 1 0 );; 国家重点基础研究发展规划项目 (G2 0 0 0 0 7790 0 )资助
【CateGory Index】: TP79;TP701
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