A New Data Transformation Method for Cbers-02b Multi-spectral Images
Zhang, Chengwen ; Tang, Jiakui ; Mi, Sujuan ; Zhao, Lijun ; Li, Yongzhi ; Yu, Xinju
2012
会议日期September 30, 2011 - October 1, 2011
会议地点Bangkok, THAILAND
关键词Remote Sensing Lbv Transformation Multi-spectral Images Classification Cbers-02b
页码444_449
通讯作者Zhang, CW (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Lab Informat Integrat & Applicat, Beijing 100864, Peoples R China.,cwzhang123@163.com ; jktang@yic.ac.cn
英文摘要According to the detailed studies on the data of China-Brazil earth resources satellite-02B (CBERS-02B) and the LBV data transform method proposed by the previous researcher, a new LBV data transformation equations for CBERS-02B data was specially proposed. A transformation experiment on CBERS-02B data showed that the LBV transformed result images were more vivid, and the features of result images were more easily to be classified than the fault color composite images of original bands. In order to evaluate the performance of this proposed method, the maximum likelihood supervised classification method was used. The final classification results showed that the accuracy of the LBV transformed image is obviously better than that of the fault color composite images of original bands, which demonstrated that the proposed LBV transformation method for CBERS-02B has good potential for CBERS-02B data in the future applications.
产权排序[Zhang, Chengwen] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Lab Informat Integrat & Applicat, Beijing 100864, Peoples R China
会议录Advanced Materials in Microwaves and Optics, AMMO2011
会议录出版者TRANS TECH PUBLICATIONS LTD
学科主题Materials Science, Multidisciplinary ; Optics ; Physics, Applied
语种英语
URL标识查看原文
ISSN号1013-9826
ISBN号9783037852736
内容类型会议论文
源URL[http://ir.yic.ac.cn/handle/133337/6232]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
推荐引用方式
GB/T 7714
Zhang, Chengwen,Tang, Jiakui,Mi, Sujuan,et al. A New Data Transformation Method for Cbers-02b Multi-spectral Images[C]. 见:. Bangkok, THAILAND. September 30, 2011 - October 1, 2011.
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