G5 Doctoral dissertation (article)
Computational methods for hyperspectral imaging using Fabry-Perot interferometers and colour cameras (2019)

Eskelinen, M. (2019). Computational methods for hyperspectral imaging using Fabry-Perot interferometers and colour cameras [Doctoral dissertation]. Jyväskylän yliopisto. JYU dissertations, 168. http://urn.fi/URN:ISBN:978-951-39-7967-6

JYU authors or editors

Publication details

All authors or editors: Eskelinen, Matti

eISBN: 978-951-39-7967-6

Journal or series: JYU dissertations

eISSN: 2489-9003

Publication year: 2019

Number in series: 168

Number of pages in the book: 1 verkkoaineisto (44 sivua, 27 sivua useina numerointijaksoina, 18 numeroimatonta sivua)

Publisher: Jyväskylän yliopisto

Place of Publication: Jyväskylä

Publication country: Finland

Publication language: English

Persistent website address: http://urn.fi/URN:ISBN:978-951-39-7967-6

Publication open access: Openly available

Publication channel open access: Open Access channel

Abstract

Recent research into new technologies for hyperspectral imaging has produced small imagers capable of very fast capture of spectral and spatial information. A design based on an electronically tunable Fabry–Perot interferometer combined with existing camera technology has been developed by VTT and is being utilized in novel applications, such as drone based and handheld hyperspectral imaging. The design allows very fast capture of hyperspectral image cubes with great spatial resolution using either a monochromatic or a colour filter array image sensor. The latter allows imaging speed and wavelength range to be further extended by computing multiple narrowband images from a single exposure. This research describes the process of computing spectroscopic data using these types of imagers and introduces software tools developed by the author for this purpose. The included articles present solutions developed during the research for building analysis software for hyperspectral imaging using high level languages. They also document computational challenges that need to be considered when utilizing colour filter arrays for hyperspectral imaging and demonstrate the feasibility of this type of imager for use in drone based imaging and laboratory conditions. The software libraries produced during the research are made publicly available under free licenses to facilitate development of new hyperspectral imaging applications using this technology.

Keywords: spectral imaging; image processing; libraries (computing); software development; methods of analysis; machine learning

Free keywords: hyperspectral imaging; colour filter array; Fabry-Perot interferometer; software development; data analysis; machine learning

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2019