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Application of Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images

  • In this paper, the application of established pansharpening algorithms for the fusion of hyperspectral images from Raman Microspectroscopy and panchromatic images from conventional Brightfield Microscopy is investigated. Seven different methods based on Multiresolution Analysis and Component Substitution are applied and evaluated through visual assessment and quantitative quality measures at full and reduced resolution. The obtained results indicate that among the considered concepts, multi-resolution methods are the more promising approaches for a physically and chemically meaningful fusion of the considered modalities. Here, pansharpening based on High-Pass Filtering led to the best results.

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Document Type:Conference Object
Parent Title (English):9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 23 - 26 September 2018, Amsterdam, The Netherlands
Publication year:2018
Submission status:accepted for publication
Departments, institutes and facilities:Fachbereich Informatik
Fachbereich Angewandte Naturwissenschaften
Institute of Visual Computing (IVC)
Entry in this database:2018/08/11