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Proceedings Paper

Different fusion methods of multispectral and panchromatic images using PCA and wavelet
Author(s): Chaoming Luo; Xingfa Gu; Yang Dong; Hua Xu; Feiming Wei
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Paper Abstract

Methods for fusing multi-spectral low-resolution remotely sensed images with a more highly resolved panchromatic image are described. The goal is to obtain a high-resolution multi-spectral image which combines the spectral characteristic of the low-resolution data with the spatial resolution of the miss- ions computer-aided panchromatic image. Unlike other applications, e.g. image fusion in military or quality control, the main constraint in remote sensing is to preserve the spectral information for tasks like classification of ground cover and to more good use of the sport remote sensor image data to apply to monitor land resources changes, updated annually nationwide use maps; Measurement of the area of arable land, estimated forest accumulation, crop growth and yield and grazing are storage capacity and annual changes and so on, and to make the image data more correct and including more information.

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, 67901I (14 November 2007); doi: 10.1117/12.748978
Show Author Affiliations
Chaoming Luo, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
National Space Administration (China)
Xingfa Gu, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
National Space Administration (China)
Yang Dong, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
Hua Xu, Institute of Remote Sensing Applications (China)
National Space Administration (China)
Feiming Wei, 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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