Knowledge Based Expert Systems in Remote Sensing Tasks: Quantifying Gain from Intelligent Inference
نویسنده
چکیده
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.
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