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《Geography and Geo-Information Science》 2008-01
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Extracting Vegetation Coverage from Hyperspectral Remote Sensing Image Using Spectral Feature Fitting

WEN Xing-ping1,2,HU Guang-dao1,2,YANG Xiao-feng3(1.Institute of Mathematic Geology and Remote Sensing Geology,China University of Geosciences,Wuhan 430074;2.State Key Laboratory of Geological Processes and Mineral Resources,Wuhan 430074;3.College of Environmental Science and Engineering,Nanjing University of Information Science & Technology,Nanjing 210044,China)  
The absorption vale in vegetation visible spectrum is caused by intensive absorption of chlorophyll,and its depth and shape is different in different vegetation coverage,so the vegetation coverage can be extracted by comparing the depth and shape of the absorption vale.This paper extracts the vegetation coverage from the hyperspectral remote sensing image using Spectral Feature Fitting(SFF) method which is based on the spectral absorption feature matching.The reference spectral is acquired by the ASD Field Spec Pro handhold spectroradiometer in site.The vegetation coverage is extracted by matching continuum removal curves of the image spectral and the field spectral using SFF method.The vegetation coverage image was outputted at last.Comparing with the result extracted by VI(Vegetation Index),SAM(Spectral Angle Mapper) and the filed data show that they are consistent with each other.
【Fund】: 国土资源大调查基金项目(2003024002)
【CateGory Index】: TP751
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