A variational approach to hyperspectral image fusion

Michael Moeller; Todd Wittman; Andrea L. Bertozzi

doi:10.1117/12.818243

27 April 2009 A variational approach to hyperspectral image fusion

Michael Moeller, Todd Wittman, Andrea L. Bertozzi

Proceedings Volume 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV; 73341E (2009) https://doi.org/10.1117/12.818243
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Michael Moeller, Todd Wittman, and Andrea L. Bertozzi "A variational approach to hyperspectral image fusion", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73341E (27 April 2009); https://doi.org/10.1117/12.818243

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