期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2008
卷号:XXXVII Part B7
页码:1085-1088
出版社:Copernicus Publications
摘要:How to measure gain from the use of intelligent inference . How can the complexity of the recognition/ classification task be estimated. What is the type of evidence which best suits an .inference mechanism. These questions are addressed here in their theoretical and methodological aspects. Their practical implications are demonstrated with 'real' crop mapping task. For this purpose, simple rule-based system is compared with expert system based on Dempster – Shafer evidential reasoning algorithm. The advantage of using 'soft' / implicit evidence with the Dempster-Shafer algorithm over the use of 'hard' / explicit evidence with decision – tree type procedure is discussed
关键词:Knowledge Base; Reasoning; Theory; Fusion; Classification; Data Mining