Classification Methods of Remote Sensing Image Based on Decision Tree Technologies
Abstract
Decision tree classification algorithms have significant potential for remote sensing data classification. This paper advances to adopt decision tree technologies to classify remote sensing images. First, this paper discussed the algorithms structure and the algorithms theory of decision tree. Second, C4.5 basic theory and boosting technology are explained. The decision tree technologies have several advantages for remote sensing application by virtue of their relatively simple, explicit and intuitive classification structure.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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