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Fast wavelet-based pansharpening of multi-spectral images

Mitianoudis, Nikolaos; Tzimiropoulos, Georgios; Stathaki, Tania


Nikolaos Mitianoudis

Georgios Tzimiropoulos

Tania Stathaki


Remote Sensing systems enhance the spatial quality of low-resolution Multi-Spectral (MS) images using information from Pan-chromatic (PAN) images under the pansharpening framework. Most decimated multi-resolution pansharpening approaches upsample the low-resolution MS image to match the resolution of the PAN image. Consequently, a multi-level wavelet decomposition is performed, where the edge information from the PAN image is injected in the MS image. In this paper, the authors propose a pansharpening framework that eliminates the need of upsampling of the MS image, using a B-Spline biorthogonal wavelet decomposition scheme. The proposed method features similar performance to the state-of-the-art pansharpening methods without the extra computational cost induced by upsampling.


Mitianoudis, N., Tzimiropoulos, G., & Stathaki, T. (2010). Fast wavelet-based pansharpening of multi-spectral images.

Conference Name 2010 IEEE International Conference on Imaging Systems and Techniques (IST)
End Date Jul 2, 2010
Publication Date Jan 1, 2010
Deposit Date Feb 1, 2016
Publicly Available Date Aug 12, 2018
Peer Reviewed Peer Reviewed
Public URL
Additional Information Copyright IEEE, 2010. Published in: 2010 IEEE International Conference on Imaging Systems and Techniques: proceedings: July 1-2, 2010, Electra Palace, Thessaloniki, Greece. Piscataway, N.J. : IEEE, ©2010. doi: 10.1109/IST.2010.5548451


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