Robust Blind Image Fusion for Misaligned Hyperspectral Imaging Data

Leon Bungert, Matthias J Ehrhardt, Rafael Reisenhofer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The low spatial resolution of hyperspectral imaging can be significantly improved by fusing the hyperspectral image with a high resolution photograph. In most practical cases, however, the exact alignment between the fused images is not known a priori. In this work, we study how including a blind deconvolution approach in the mathematical model can help resolve translational misalignments. In particular, we investigate the influence of different initialization strategies. The efficiency of the proposed model is validated by numerical experiments using both simulated and real remote sensing data.
Original languageEnglish
Title of host publicationProceedings in Applied Mathematics & Mechanics
PublisherWiley
Number of pages2
Volume18
Publication statusPublished - 17 Dec 2018

Cite this

Bungert, L., Ehrhardt, M. J., & Reisenhofer, R. (2018). Robust Blind Image Fusion for Misaligned Hyperspectral Imaging Data. In Proceedings in Applied Mathematics & Mechanics (Vol. 18). Wiley.