Abstract：The major objective of this paper is to introduce a new method of classification to remote-sensing data, it is four-stages classifier, the classifier described here is based on four stages of operation:1) Quadtree segmentation and homogeneity;2) Minimum distance to means;3) Ancillary DTM data and spectral curves;4) Elevation data was used to correct the classification;The characteristic of this method is incorporates the information of spectral, spatial and ancillary DTM data in classication, in order to overcome the weakness in ordinary classification pixels by pixels. This method was used in the train area, the accuracy is 90%, the overall improvement in accuracy is 10% to compared to per-pixel maximum likelihood classifiers.
刁淑娟, 孙星和, 袁崇桓. 山区植被类型信息提取方法研究[J]. 国土资源遥感, 1995, 7(3): 34-39.
Diao Shujuan, Yuan Chonghuan, Sun Xinghe. THE METHOD OF VEGETABLE CLASSIFICATION OF THEMATIC MAPPER IN MOUNTAIN AREA OF SOUTH-WEST CHINA. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(3): 34-39.
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1995, Vol. 7 
