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Classification Methods of Remote Sensing Image Based on Decision Tree Technologies

  • Lihua Jiang
  • Wensheng Wang
  • Xiaorong Yang
  • Nengfu Xie
  • Youping Cheng
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 344)

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.

Keywords

Decision tree Classification Remote sensing image 

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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Lihua Jiang
    • 1
    • 2
  • Wensheng Wang
    • 1
    • 2
  • Xiaorong Yang
    • 1
    • 2
  • Nengfu Xie
    • 1
    • 2
  • Youping Cheng
    • 3
  1. 1.Agriculture Information InstituteChinese Academy of Agriculture SciencesBeijingChina
  2. 2.Key Laboratory of Digital Agricultural Early-warning Technology, Agriculture Information InstituteChinese Academy of Agriculture SciencesBeijingChina
  3. 3.Agriculture BureauHuailai CountyChina

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