Research and application of Object-oriented remote sensing image classification based on decision tree
Authors
Dou Peng, Zhai Liang, Sang Huiyong, Xie Wenhan
Corresponding Author
Dou Peng
Available Online August 2013.
- DOI
- 10.2991/rsete.2013.66How to use a DOI?
- Keywords
- remote sensing image classification; object-oriented; decision tree classification; C5.0 algorithm
- Abstract
The paper mainly introduced the basic principle and method of Object-oriented classification technology and made studies and research on decision tree classification technology. In addition, the remote sensing image was classified with Object-oriented way by using C5.0 algorithm, and compared with the result based on pixels classification and the result of SVM Object-oriented classification, which has improved that the accuracy and effectiveness of decision tree classification can be used in Object-oriented remote sensing image classification.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dou Peng AU - Zhai Liang AU - Sang Huiyong AU - Xie Wenhan PY - 2013/08 DA - 2013/08 TI - Research and application of Object-oriented remote sensing image classification based on decision tree BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 270 EP - 273 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.66 DO - 10.2991/rsete.2013.66 ID - Peng2013/08 ER -