3 November 2005 The texture concept and coding for multi-spectral and super-dimensional images
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Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 604318 (2005) https://doi.org/10.1117/12.654890
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
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Ning Shu, Ning Shu, } "The texture concept and coding for multi-spectral and super-dimensional images", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604318 (3 November 2005); doi: 10.1117/12.654890; https://doi.org/10.1117/12.654890
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