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Proceedings Paper

A variational approach to hyperspectral image fusion
Author(s): Michael Moeller; Todd Wittman; Andrea L. Bertozzi
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Paper Abstract

There has been significant research on pan-sharpening multispectral imagery with a high resolution image, but there has been little work extending the procedure to high dimensional hyperspectral imagery. We present a wavelet-based variational method for fusing a high resolution image and a hyperspectral image with an arbitrary number of bands. To ensure that the fused image can be used for tasks such as classification and detection, we explicitly enforce spectral coherence in the fusion process. This procedure produces images with both high spatial and spectral quality. We demonstrate this procedure on several AVIRIS and HYDICE images.

Paper Details

Date Published: 27 April 2009
PDF: 10 pages
Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73341E (27 April 2009); doi: 10.1117/12.818243
Show Author Affiliations
Michael Moeller, Westfälische Wilhelms Univ. (Germany)
Todd Wittman, Univ. of California, Los Angeles (United States)
Andrea L. Bertozzi, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 7334:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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