Spectrally Consistent Satellite Image Fusion with Improved Image Priors

Spectrally Consistent Satellite Image Fusion with Improved Image Priors

Here an improvement to our previous framework for satellite image fusion is presented. A framework purely based on the sensor physics and on prior assumptions on the fused image. The contributions of this paper are two fold. Firstly, a method for ensuring 100% spectrally consistency is proposed, eve...

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Bibliographic Details
Published in:Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006 pp. 14 - 17
Main Authors: Aanaes, H., Nielson, A.A., Boevith, T., Sveinsson, J.R., Benediktsson, J.A.
Format: Conference Proceeding
Language:English
Published: IEEE 01-06-2006
Subjects:
Frequency estimation
Image fusion
Image resolution
Image sensors
Multispectral imaging
Physics
Pixel
Satellites
Sensor fusion
Smoothing methods
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Summary:Here an improvement to our previous framework for satellite image fusion is presented. A framework purely based on the sensor physics and on prior assumptions on the fused image. The contributions of this paper are two fold. Firstly, a method for ensuring 100% spectrally consistency is proposed, even when more sophisticated image priors are applied. Secondly, a better image prior is introduced, via data-dependent image smoothing
ISBN:9781424404124
1424404126
DOI:10.1109/NORSIG.2006.275264