论文信息 - Research and application of Object-oriented remote sensing image classification based on decision tree

Research and application of Object-oriented remote sensing image classification based on decision tree

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.

Dou Peng | Zhai Liang | Sang Huiyong | Xie Wenhan

[1] Assia Kourgli,et al. Texture modelling for land cover classification of fully polarimetric SAR images , 2012 .

[2] Zhang Yi-wei. Methodsological Study on the Detection of the Variations of Forest Resources Based on C5.0 Algorithm-A Case of Culai Forest in Shandong , 2011 .

[3] Yang Chang-bao. Study of Object-Oriented Based Remote Sensing Image Classification , 2006 .

[4] Wang Jinfei,et al. Classification of Remot Sensing Image Based on Object Oriented and Class Rules , 2006 .

[5] Qiu Yun-feng. Application of Object-Oriented Approach to SPOT5 Image Classification:A Case Study in Haidian District,Beijing City , 2006 .

[6] Ge Chun-qing. Object-oriented Classification of Remote Sensing Image Based on Decision Trees , 2009 .

[7] Xiaorong Yang,et al. Classification Methods of Remote Sensing Image Based on Decision Tree Technologies , 2010, CCTA.

[8] Nikos Koutsias,et al. Burned area mapping in Mediterranean environment using medium-resolution multi-spectral data and a neuro-fuzzy classifier , 2012 .