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Proceedings Paper

A method of content-based image analysis using SVM classifier in data catalogue and archive system of remote sensing satellite
Author(s): XiuLi Wang; ShiMing Fan
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Paper Abstract

To automatic analysis of the image content,an architecture of content-based image analysis component is designed, which is compatible with existing remote sensing images catalogue and archive system. Thus, indexing can be generated on images content for the images archive. An learning algorithm relying on support vector machine (SVM) is also proposed to classify and label the region of interest in high resolution remote sensing images.This algorithm needs a small size and consumes little computing time online. At the same time, the algorithm can automatically generate semantic interpretations from images.

Paper Details

Date Published: 2 April 2010
PDF: 5 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510T (2 April 2010); doi: 10.1117/12.855483
Show Author Affiliations
XiuLi Wang, Space Star Technology Co., Ltd. (China)
ShiMing Fan, Space Star Technology Co., Ltd. (China)

Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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