The investigation of special information distilling method of land use in karst area based on CBERS-02B and analysis on application: a case study of Duyun, Guizhou

This paper explores the optimal methods for processing CBERS-02B images and using them to classify the land uses of karst mountain areas with 3S technologies, especially the RS digital image processing technology. Through multiple experiments and analysis, the difficulty of CBERS-02B images in distinguishing water from mountain shades, construction land from dry land and paddy field are satisfactorily removed. And the combination of band 421, based on OIF method, is proved optimal for classifying the land uses of karst areas. After comparing and evaluating the effect of HIS, PCA and HPC based image fusion methods, the HIS transformation based image fusion method is found best for CBERS-02B HR and CCD data fusion in the case of karst highland mountains. Based on the experiments, this paper proves that CBERS images are capable of large scale land use classification for karst areas, a competent substitute of TM images for karst mountain area land use survey.