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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.
https://hal.inria.fr/hal-01559629 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Monday, July 10, 2017 - 5:28:47 PM Last modification on : Wednesday, July 21, 2021 - 10:28:03 AM Long-term archiving on: : Wednesday, January 24, 2018 - 4:52:58 PM
Lihua Jiang, Wensheng Wang, Xiaorong yang, Nengfu Xie, youping Cheng. Classification Methods of Remote Sensing Image Based on Decision Tree Technologies. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.353-358, ⟨10.1007/978-3-642-18333-1_41⟩. ⟨hal-01559629⟩