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978-3-8439-5606-2, Reihe Elektrotechnik

Frank Sippel
High-Resolution Hyperspectral Video Imaging Using Camera Arrays

206 Seiten, Dissertation Universität Erlangen-Nürnberg (2025), Softcover, A5

Zusammenfassung / Abstract

Hyperspectral imaging systems are becoming increasingly popular because they are extending the perceivable spectral range and spectral resolution in comparison to classical color cameras which only capture a red, green, and blue channel. Hyperspectral imaging devices achieve this extension by sampling the light spectrum within a certain range for each pixel. Recording the reflected light spectrum of objects is an essential task for many detection and classification problems, since materials and processes have a unique spectral behaviour.For diverse applications, a high resolution in every dimension, that is, two spatial dimensions, the temporal dimension, and the spectral dimension, is required. Hence, the development of such a high-resolution hyperspectral video imaging system is crucial to solve challenging problems on the application side.

To tackle the challenge of high-resolution hyperspectral video imaging, four major ideas are covered in this thesis. First, the hexagonal array for hyperspectral imaging, a camera array capable of high-resolution hyperspectral video imaging, is introduced. Moreover, a mapping process of the different spectral bands is necessary in order to produce a consistent hyperspectral data cube. To achieve this, a cross spectral image registration pipeline is presented, which marks the second fundamental contribution of this work. Third, a synthetic hyperspectral video array database is introduced which enables a thorough evaluation of the cross spectral image registration pipeline. Finally, techniques on how to estimate hyperspectral images from multispectral images are introduced, which is a more cost-efficient way of providing hyperspectral images due the lower number of cameras employed.