Arid
DOI10.1109/IAS.2009.186
Research on new classification methods of remote sensing of mass ingredient without vegetation of Hei Shan Gorge in Yellow River basin
Wang Shudong1; Wang Xiaohua2
通讯作者Wang Shudong
会议名称5th International Conference on Information Assurance and Security
会议日期AUG 18-20, 2009
会议地点Xian, PEOPLES R CHINA
英文摘要

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.


英文关键词heterogeneous underlying surface spectrum and texture classification method soil erosion
来源出版物FIFTH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY, VOL 2, PROCEEDINGS
出版年2009
页码693-+
ISBN978-0-7695-3744-3
出版者IEEE COMPUTER SOC
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000275852400157
WOS类目Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS研究方向Computer Science ; Engineering
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/297726
作者单位1.Beijing Normal Univ, Sch Geog & Remote Sensing Sci, Beijing 100875, Peoples R China;
2.Hebei Univ Engn, Sch Econ & management, Hebei 056038, Peoples R China
推荐引用方式
GB/T 7714
Wang Shudong,Wang Xiaohua. Research on new classification methods of remote sensing of mass ingredient without vegetation of Hei Shan Gorge in Yellow River basin[C]:IEEE COMPUTER SOC,2009:693-+.
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