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Proceedings Paper • Open Access

Current progress on multisensor image fusion in remote sensing
Author(s): Deren Li; Zhijun Wang; QingQuan Li

Paper Abstract

This paper describes and explains why image fusion, what is image fusion, and the current research status mainly on wavelet based pixel-based image fusion. Pixel-based image fusion defines the fusion process of original images or the images after pre-processing. Preliminary results of many researches show that the advantages of high-resolution panchromatic image and low-resolution multi-spectral image can be combined by image fusion and the information extraction capability can be improved. The fusion methods evolutes from traditional fusion methods, pyramid based fusion methods to nowadays wavelet based fusion methods. The popular wavelet theory based Mallat algorithm and ¡°¨¢ Trous¡± algorithm are explained. In order to overcome some shortcomings of Mallat algorithm and ¡°¨¢ Trous¡± algorithm, MRAIM algorithm is designed, which is based on the image formation principle and multi-resolution analysis theory. It formulates the Mallat algorithm and ¡°¨¢ Trous¡± algorithm from the theoretical point of view. It can improve the spatial resolution while preserve the hue and saturation unchanged.

Paper Details

Date Published: 18 September 2001
PDF: 6 pages
Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); doi: 10.1117/12.440274
Show Author Affiliations
Deren Li, Wuhan Univ. (China)
Zhijun Wang, Wuhan Univ. (China)
QingQuan Li, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 4556:
Data Mining and Applications
Deren Li; Jie Yang; Jufu Feng; Shen Wei, Editor(s)

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