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

International Association of Online Engineering

Wang Ling¹ 

[1] Shihezi University

关键词: Object-oriented;    Multi-level segmentation;    Land use;    e-Cognition;    RS technology;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

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.

【 授权许可】

Unknown