A Sub-pixel based Method to Extract and Interpret Information from Image and its Preliminary Application

摘要：

Resolving sub-pixel area information extraction has gained increasing attention in the remote sensing community.Automated morphological endmember extraction (AMEE) which integrates spatial and spectral information to select endmembers,is able to provide a relatively good characterization of general landscape conditions.As tradition support vector machine (SVM) predicts only class label,in order to obtain the abundance fractions of targets of interest,SVM method can be combined with pairwise coupling.This paper describes a model which combines SVM approach and AMEE algorithm.One of the main advantages of using this model is that it performs automatic sub-pixel information detection.At last,simulated and real Landsat TM data are used to demonstrate the potential of this approach.

关键词： Automated morphological endmember extraction (AMEE) support vector machine (SVM) pairwise coupling (PWC)

作者: Hui Li Yunpeng Wang Yang Cao Xingfang Wang

作者单位: State Key Laboratory of Organic Geochemistry,Guangzhou Institute of Geochemistry,Chinese Academy of State Key Laboratory of Organic Geochemistry,Guangzhou Institute of Geochemistry,Chinese Academy of Spatial Information Center,South China Normal Univ.Guangzhou,GD,China 510631

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）