Improvement of Dark Object Method in Atmospheric Correction of hyperspectral remotely sensed data |
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摘 要: | The existing methods in atmospheric correction of hyperspectral data usually focus on removing the effects of water vapor and other absorptive gases, while this paper mainly studies the method of re- moving the influence of the aerosol and the water vapor simultaneously. Because the hyperspectral data has a larger number of bands, the conventional dark object method cannot be applied to the at- mospheric correction of the hyperspectral data which can be improved, as described in this paper, by adequately making use of spectral characteristics of the hyperspectral data with an iterative correction during the whole process. The effects of the aerosol and water vapor are eliminated at the same time finally. The improved dark object method is used to do the atomospheric correction of the Hyperion data in Yanzhou, Shandong Province as an example. And the result indicates that it can correct the atmospheric influence of the hyperspectral data quickly and remarkably.
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收稿时间: | 21 November 2006 |
修稿时间: | 27 July 2007 |
Improvement of dark object method in atmospheric correction of hyperspectral remotely sensed data |
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Authors: | Zhao Xiang Liang ShunLin Liu SuHong Wang JinDi Qin Jun Li Qing Li XiaoWen |
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Institution: | (1) State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, 100875, China;(2) China Center for Resource Satellite Data and Applications, Beijing, 100073, China;(3) Department of Geography, University of Maryland, 2181 Lefrak Hall, College Park, MD20742, USA |
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Abstract: | The existing methods in atmospheric correction of hyperspectral data usually focus on removing the effects of water vapor and other absorptive gases, while this paper mainly studies the method of re- moving the influence of the aerosol and the water vapor simultaneously. Because the hyperspectral data has a larger number of bands, the conventional dark object method cannot be applied to the at- mospheric correction of the hyperspectral data which can be improved, as described in this paper, by adequately making use of spectral characteristics of the hyperspectral data with an iterative correction during the whole process. The effects of the aerosol and water vapor are eliminated at the same time finally. The improved dark object method is used to do the atomospheric correction of the Hyperion data in Yanzhou, Shandong Province as an example. And the result indicates that it can correct the atmospheric influence of the hyperspectral data quickly and remarkably. |
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Keywords: | dark object hyper spectral atmospheric correction remote sensing Hyperion |
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