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
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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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