国土资源遥感Issue(1)：26-32,7.
证据理论结合遥感分类数据能力定量评价研究
The Quantitative Evaluation of Remote Sensing Data for Supervised Evidential Classification
摘要
Abstract
DS (Dempster- Shafer) evidence theory has the capability of combining multisource data,and has been used more and more widely in the remote sensing classification field. However, it is not true that all the data sources can improve target category's Basic Probability Assignment (BPA) so as to improve the remote sensing classification accuracy. The evaluation of the effect of combined evidence is therefore a key point in the application of DS evidence theory. This paper proposed the evidence combine index (cci) for evaluating the combined evidence. The authors chose band 5 and band 7 of TM image as verification data, applied the cci index to evaluate the combining effect, and used the variation of kappa coefficient before and after evidence combination classification to validate the cci. The results show that the eei index can reflect the effect of evidence combination and thus lay the foundation for evaluating supervised evidential classification quantitatively.关键词
DS证据理论/遥感分类/证据结合指数Key words
DS evidence theory/ Remote sensing classification/ Evidence combine index分类
信息技术与安全科学引用本文复制引用
李华朋,张树清,孙妍..证据理论结合遥感分类数据能力定量评价研究[J].国土资源遥感,2011,(1):26-32,7.基金项目
国家自然科学基金项目(编号:40871188)和中国科学院知识创新工程信息化项目"中国湿地与黑土生态综合集成数据库"专题(编号:INFO-115-C01-SDB4-05)共同资助. （编号:40871188）
