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Proceedings Paper

The research and application of medium resolution remote sensing images in the city information extraction
Author(s): Feihong Wang; Jason Yang; Shiwei Li; Zhibin Wang
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Paper Abstract

In order to obtain urban distribution, the decision tree classification technology is used to classify remote sensing image in the study area. Landsat TM image ,digital elevation model (DEM), and normalized water index, vegetation index and cultivated land index as well as image spectral statistical characteristics and space information characteristics are used.Through the threshold determination methods, decision tree is built to achieve a classification of six kinds of objects in the study area ,which are water body, artificial structure, bare land, cultivated land, forest land and grassland. Finally confusion matrix is used to evaluate classification results, the overall classification accuracy of the decision tree is 89.52%, the Kappa coefficient is 0.867.

Paper Details

Date Published: 21 February 2014
PDF: 9 pages
Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 91421F (21 February 2014); doi: 10.1117/12.2054087
Show Author Affiliations
Feihong Wang, North Univ. of China (China)
Jason Yang, North Univ. of China (China)
Ball State Univ. (United States)
Shiwei Li, North Univ. of China (China)
Zhibin Wang, North Univ. of China (China)


Published in SPIE Proceedings Vol. 9142:
Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013
Jorge Ojeda-Castaneda; Shensheng Han; Ping Jia; Jiancheng Fang; Dianyuan Fan; Liejia Qian; Yuqiu Gu; Xueqing Yan, Editor(s)

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