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Proceedings Paper

Object-oriented recognition of high-resolution remote sensing image
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Paper Abstract

With the development of remote sensing imaging technology and the improvement of multi–source image's resolution in satellite visible light, multi-spectral and hyper spectral , the high resolution remote sensing image has been widely used in various fields, for example military field, surveying and mapping, geophysical prospecting, environment and so forth. In remote sensing image, the segmentation of ground targets, feature extraction and the technology of automatic recognition are the hotspot and difficulty in the research of modern information technology. This paper also presents an object-oriented remote sensing image scene classification method. The method is consist of vehicles typical objects classification generation, nonparametric density estimation theory, mean shift segmentation theory, multi-scale corner detection algorithm, local shape matching algorithm based on template. Remote sensing vehicles image classification software system is designed and implemented to meet the requirements .

Paper Details

Date Published: 26 January 2016
PDF: 8 pages
Proc. SPIE 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015, 97962W (26 January 2016); doi: 10.1117/12.2230491
Show Author Affiliations
Yongyan Wang, Science and Technology on Optical Radiation Lab. (China)
Haitao Li, Science and Technology on Optical Radiation Lab. (China)
Hong Chen, Science and Technology on Optical Radiation Lab. (China)
Yuannan Xu, Science and Technology on Optical Radiation Lab. (China)


Published in SPIE Proceedings Vol. 9796:
Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015
Weimin Bao; Yueguang Lv, Editor(s)

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