Abstract
A method is proposed for pixel-level satellite image fusion derived directly from a model of the imaging sensor. By design, the proposed method is spectrally consistent. It is argued that the proposed method needs regularization, as is the case for any method for this problem. A framework for pixel neighborhood regularization is presented. This framework enables the formulation of the regularization in a way that corresponds well with our prior assumptions of the image data. The proposed method is validated and compared with other approaches on several data sets. Lastly, the intensity-hue-saturation method is revisited in order to gain additional insight of what implications the spectral consistency has for an image fusion method.
Original language | English |
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Pages (from-to) | 1336-1346 |
Number of pages | 11 |
Journal | IEEE Transactions on Geoscience and Remote Sensing |
Volume | 46 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2008 |
Bibliographical note
Funding Information:Manuscript received May 31, 2007; revised October 30, 2007. This work was supported in part by the Research Fund of the University of Iceland. H. Aanæs is with the Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2800 Lyngby, Denmark. J. R. Sveinsson and J. A. Benediktsson are with the Department of Electrical and Computer Engineering, University of Iceland, 101 Reykjavík, Iceland. A. A. Nielsen is with the National Space Institute, Technical University of Denmark, 2800 Lyngby, Denmark. T. Bøvith is with the National Space Institute, Technical University of Denmark, 2800 Lyngby, Denmark, and also with the Danish Meteorological Institute, 2100 Copenhagen, Denmark. Digital Object Identifier 10.1109/TGRS.2008.916475
Other keywords
- Generative model
- Image fusion
- Satellite images
- Sensor fusion
- Spectral consistency