Computational Methods in Spectral Imaging
Pölönen, I. (2023). Computational Methods in Spectral Imaging. In P. Neittaanmäki, & M.-L. Rantalainen (Eds.), Impact of Scientific Computing on Science and Society (pp. 295-313). Springer. Computational Methods in Applied Sciences, 58. https://doi.org/10.1007/978-3-031-29082-4_17
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Computational Methods in Applied SciencesAuthors
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2023Discipline
TietotekniikkaLaskennallinen tiedeComputing, Information Technology and MathematicsMathematical Information TechnologyComputational ScienceComputing, Information Technology and MathematicsAccess restrictions
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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
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.
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978-3-031-29081-7Is part of publication
Impact of Scientific Computing on Science and SocietyISSN Search the Publication Forum
1871-3033Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/183943191
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