Object-oriented recognition of high-resolution remote sensing image

Yongyan Wang; Haitao Li; Hong Chen; Yuannan Xu

doi:10.1117/12.2230491

26 January 2016 Object-oriented recognition of high-resolution remote sensing image

Yongyan Wang, Haitao Li, Hong Chen, Yuannan Xu

Proceedings Volume 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015; 97962W (2016) https://doi.org/10.1117/12.2230491
Event: Selected Proceedings of the Chinese Society for Optical Engineering Conferences held November 2015, 2015, Various, China

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 .

Citation Download Citation

Yongyan Wang, Haitao Li, Hong Chen, and Yuannan Xu "Object-oriented recognition of high-resolution remote sensing image", Proc. SPIE 9796, Selected Papers of the Photoelectronic Technology Committee Conferences held November 2015, 97962W (26 January 2016); https://doi.org/10.1117/12.2230491

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