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Proceedings Paper

The texture concept and coding for multi-spectral and super-dimensional images
Author(s): Ning Shu
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Paper Abstract

This paper proposes a new concept of remote sensed image, which could be considered as the mapping mode of the spectral space for ground features to the projective space that is two-dimensional imaging space. This concept could express well the texture information in multi-spectral and super-dimensional images, as well as that in single band image or black-white images. In order to analyze the texture information in multi-spectral and super-dimensional images, the necessary way is the coding for spectral vector of every pixel with all the spectral information. The texture of multi-spectral and super-dimensional images is based upon that kind of coding. Several approaches have been proposed for the coding of spectral vector: the coding based on the spectral similarity, the coding based on the density analysis of spectral space, the coding based on the image analysis of principal components, etc. The result of texture classifications based on one way of coding has been given out to show the effectiveness of proposed method.

Paper Details

Date Published: 3 November 2005
PDF: 7 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604318 (3 November 2005); doi: 10.1117/12.654890
Show Author Affiliations
Ning Shu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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