Surface Feature Extraction on the Basis of Object-oriented Remote Sensing Classification Methods in Manas River Basin

Authors

  • Wang Ling Shihezi University
  • Su Jian-an
  • Guo Peng

DOI:

https://doi.org/10.3991/ijoe.v10i6.4021

Keywords:

Object-oriented, Multi-level segmentation, Land use, e-Cognition, RS technology

Abstract


Remote-sensing (RS) images were extracted by using object-oriented remote sensing classification methods. This study combines RS and Geographic Information System to conduct multilevel segmentation and classify of the remote sensing image of Manas watershed. The e-Cognition system was selected to define the knowledge base following the classification system. The results show that the overall nicety of grading can reach 97.37% and that the Kappa coefficient is 0.9706. These results show that land use can be described and extracted by using high spatial resolution remote-sensing images.

Downloads

Published

2014-10-25

How to Cite

Ling, W., Jian-an, S., & Peng, G. (2014). Surface Feature Extraction on the Basis of Object-oriented Remote Sensing Classification Methods in Manas River Basin. International Journal of Online and Biomedical Engineering (iJOE), 10(6), pp. 63–67. https://doi.org/10.3991/ijoe.v10i6.4021

Issue

Section

Papers