Research on new classification methods of remote sensing of mass ingredient without vegetation of Hei Shan Gorge in Yellow River basin

摘要：

Method of normalized spectrum was presented for problem-saving of spectral complexity and separating capacity, which were used to differ prtrous mountain from exposed soil and desert. Using the method, normalized spectral index (NSI) was established; then, the preous mountain index (RMI) was created; finally, we established desert-exposed soil difference model (DS-Def). The above results indicated that the precision iss higher than traditional classification. But the method is too complex to extract the information quickly, so we selected above sensitive factors as new bands to classify mass ingredient in non-vegetation area using supervise classification. The result indicted that the method is relatively simple and effective.

关键词： heterogeneous underlying surface spectrum tezture classification method soil erosion

作者: Wang Shudong Wang xiaohua

作者单位: School of Geography and Remote Sensing Science; Beijing Normal University Beijing,China,100875 School of Economics and management,Hebei University of Engineering,Handan,Hebei,China,056038

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 693-696

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）