Computational Methods in Spectral Imaging
| dc.contributor.author | Pölönen, Ilkka | |
| dc.contributor.editor | Neittaanmäki, Pekka | |
| dc.contributor.editor | Rantalainen, Marja-Leena | |
| dc.date.accessioned | 2024-01-09T09:17:01Z | |
| dc.date.available | 2024-01-09T09:17:01Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Pölönen, I. (2023). Computational Methods in Spectral Imaging. In P. Neittaanmäki, & M.-L. Rantalainen (Eds.), <i>Impact of Scientific Computing on Science and Society</i> (pp. 295-313). Springer. Computational Methods in Applied Sciences, 58. <a href="https://doi.org/10.1007/978-3-031-29082-4_17" target="_blank">https://doi.org/10.1007/978-3-031-29082-4_17</a> | |
| dc.identifier.other | CONVID_183943191 | |
| dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/92601 | |
| dc.description.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. | en |
| dc.format.extent | 450 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Impact of Scientific Computing on Science and Society | |
| dc.relation.ispartofseries | Computational Methods in Applied Sciences | |
| dc.rights | In Copyright | |
| dc.subject.other | spektrikuvaus | |
| dc.subject.other | tietojenkäsittely | |
| dc.subject.other | spectral imaging | |
| dc.subject.other | modelling | |
| dc.subject.other | machine learning | |
| dc.subject.other | data processing | |
| dc.title | Computational Methods in Spectral Imaging | |
| dc.type | bookPart | |
| dc.identifier.urn | URN:NBN:fi:jyu-202401091103 | |
| dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
| dc.contributor.laitos | Faculty of Information Technology | en |
| dc.contributor.oppiaine | Tietotekniikka | fi |
| dc.contributor.oppiaine | Laskennallinen tiede | fi |
| dc.contributor.oppiaine | Computing, Information Technology and Mathematics | fi |
| dc.contributor.oppiaine | Mathematical Information Technology | en |
| dc.contributor.oppiaine | Computational Science | en |
| dc.contributor.oppiaine | Computing, Information Technology and Mathematics | en |
| dc.type.uri | http://purl.org/eprint/type/BookItem | |
| dc.relation.isbn | 978-3-031-29081-7 | |
| dc.type.coar | http://purl.org/coar/resource_type/c_3248 | |
| dc.description.reviewstatus | peerReviewed | |
| dc.format.pagerange | 295-313 | |
| dc.relation.issn | 1871-3033 | |
| dc.type.version | acceptedVersion | |
| dc.rights.copyright | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG | |
| dc.rights.accesslevel | openAccess | fi |
| dc.subject.yso | koneoppiminen | |
| dc.subject.yso | mallintaminen | |
| dc.format.content | fulltext | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p21846 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p3533 | |
| dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
| dc.relation.doi | 10.1007/978-3-031-29082-4_17 | |
| dc.type.okm | A3 |
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