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文章基本信息

  • 标题:Knowledge Based Expert Systems in Remote Sensing Tasks: Quantifying Gain from Intelligent Inference
  • 本地全文:下载
  • 作者:M. Shoshany
  • 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
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