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Proceedings Paper

Application of object-oriented approach to high resolution remote sensing image classification
Author(s): Feiming Wei; Xiaowen Li; Xingfa Gu
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Paper Abstract

Compared with the low or middle resolution image, the high resolution Remote Sensing image has the richer structure information and the texture information, and the traditional statistical classification technology based on pixels' spectrum can not obtain the ideal effect; it's produced lots of " pepper and salt noises", "the foreign matter same spectrum" and "the same thing different spectrum". The idea of object-oriented technology produces homogeneous image objects through multi-scale segmentation technology, and provides a way to analyze object's features, such as spectral, shape, topology, texture and so on. And then it carries out the information extraction by fuzzy classification using spectral features and shape features classification, and realizes the functions of discriminating various species and automatic classification.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901F (14 November 2007); doi: 10.1117/12.748786
Show Author Affiliations
Feiming Wei, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
National Space Administration (China)
Xiaowen Li, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
Xingfa Gu, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
National Space Administration (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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