Model-based satellite image fusion

Henrik Aanæs, J. R. Sveinsson, Allan Aasbjerg Nielsen, Thomas Bøvith, J. A. Benediktsson

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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 languageEnglish
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume46
Issue number5
Pages (from-to)1336-1346
ISSN0196-2892
DOIs
Publication statusPublished - 2008

Bibliographical note

Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Keywords

  • image fusion
  • satellite images
  • sensor fusion
  • generative model
  • spectral consistency

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