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《Journal of Jilin University(Earth Science Edition)》 2007-S1
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Distilling Type Information of Vegetation Based on Slight Subarea

WU Jian,PAN Jun,XING Li-xin,LIU An-tao College of GeoExploration of Science and Technology,Jilin University, Changchun 130026,China  
Choosing the land satellite multi-spectrum remote sensing data,in the base of researching the different types of vegetation spectrum of grass,conifer,broadleaf and farm land,the authors input the slight subarea information to distill the remote sensing vegetation information which is the coalescent of the interspace characteristic and spectrum.The result indicates that the import method of slight subarea information is superior to the method of only depending on the vegetation index,and can be used to research the partition of the type of vegetation.
【CateGory Index】: TP75
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