Application of object-oriented approach to high resolution remote sensing image classification

Feiming Wei; Xiaowen Li; Xingfa Gu

doi:10.1117/12.748786

14 November 2007 Application of object-oriented approach to high resolution remote sensing image classification

Feiming Wei, Xiaowen Li, Xingfa Gu

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67901F (2007) https://doi.org/10.1117/12.748786
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Feiming Wei, Xiaowen Li, and Xingfa Gu "Application of object-oriented approach to high resolution remote sensing image classification", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901F (14 November 2007); https://doi.org/10.1117/12.748786

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KEYWORDS

Image segmentation

Image classification

Remote sensing

Image resolution

Roads

Feature extraction

Agriculture

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