Computational Methods in Spectral Imaging
Year of publication
2023
Authors
Pölönen, Ilkka
Abstract
Spectral imaging is an evolving technology with numerous applications. These images can be computationally processed in several ways. In addition to machine learning methods, spectral images can be processed mathematically by modelling or by combining both approaches. This chapter looks at spectral imaging and the computational methods commonly used in it. We review methods related to preprocessing, modelling, and machine learning, and become familiar with some applications.
Show moreOrganizations and authors
University of Jyväskylä
Pölönen Ilkka 
Publication type
Publication format
Article
Parent publication type
Compilation
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A3 Book section, Chapters in research booksPublication channel information
Journal/Series
Parent publication name
Publisher
Pages
295-313
ISSN
ISBN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
No
Self-archived
Yes
Other information
Fields of science
Computer and information sciences
Keywords
[object Object],[object Object]
Publication country
Switzerland
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1007/978-3-031-29082-4_17
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes