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《Science of Surveying and Mapping》 2008-03
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Study on multi-step classification of remote sensing image based on LBV transformation

PENG Du-ming①,ZHANG An-ding①,LI De-yi①,MI Shan-shan②(①Geography and Resources Management College,Ludong University,Yantai 264025,China;②Management College,Xiangtan University,Xiangtan 411105,China)  
Facing the data of remote sensing increasing day by day,how to classify image quickly and accurately become the matter in remote sensing field.The paper brings forward a multi-ste Pclassification approach based on LBV transformation.L:general radiance level,it can reflect the information of bare soil.B:visible-infrared radiation balance,it's a good index of water.V:band radiance variation vector-direction and speed,it can reflect the condition of vegetation.Multi-step classification follows the rule from easy to difficult.It can overcome the impact of different objects.So this method can improve the accuracy of classification.This paper integrates the good qualities of LBV transformation and multi-step classification.The result shows that this approach is simple and easy to operate.Further more,good precision can be reached.
【CateGory Index】: TP751
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