Classification Methods of Remote Sensing Image Based on Decision Tree Technologies - Computer and Computing Technologies in Agriculture IV - Part I Access content directly
Conference Papers Year : 2011

Classification Methods of Remote Sensing Image Based on Decision Tree Technologies

Lihua Jiang
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  • PersonId : 986525
Xiaorong Yang
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  • PersonId : 1012358
Nengfu Xie
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  • PersonId : 1012359
Youping Cheng
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  • PersonId : 1012360

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.
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hal-01559629 , version 1 (10-07-2017)

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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⟩
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