Open AccessSurface Feature Extraction on the Basis of Object-oriented Remote Sensing Classification Methods in Manas River Basin
Author(s) -
Ling Wang,
Jianan Su,
Peng Guo
Publication year - 2014
Publication title -
international journal of online and biomedical engineering
Language(s) - English
Resource type - Journals
ISSN - 2626-8493
DOI - 10.3991/ijoe.v10i6.4021
Subject(s) - watershed , remote sensing , cohen's kappa , computer science , segmentation , feature extraction , artificial intelligence , grading (engineering) , pattern recognition (psychology) , computer vision , geography , engineering , machine learning , civil engineering
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.