Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data
نویسندگان
چکیده
منابع مشابه
Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data
We describe a system that uses decision tree-based tools for seamless acquisition of knowledge for classification of remotely sensed imagery. We concentrate on three important problems in this process: information fusion, model understandability, and handling of missing data. Importance of multi-sensor information fusion and the use of decision tree classifiers for such problems have been wells...
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ژورنال
عنوان ژورنال: Photogrammetric Engineering & Remote Sensing
سال: 2009
ISSN: 0099-1112
DOI: 10.14358/pers.75.5.577