Current advances in imaging spectroscopy and its state-of-the-art applications

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dc.contributor.authorZahra, A.
dc.contributor.authorQureshi, R.
dc.contributor.authorSajjad, M.
dc.contributor.authorSadak, F.
dc.contributor.authorNawaz, M.
dc.contributor.authorKhan, H.A.
dc.contributor.authorUzair, M.
dc.date.issued2024
dc.description.abstractImaging spectroscopy integrates traditional computer vision and spectroscopy into a single system and has gained widespread acceptance as a non-destructive scientific instrument for a wide range of applications. The current state of imaging spectroscopy spans diverse applications including but not limited to air-borne and ground-based computer vision systems. This paper presents the current state of research and industrial applications including precision agriculture, material classification, medical science, forensic science, face recognition and document image analysis, environment monitoring, and remote sensing, which can be aided through imaging spectroscopy. In this regard, we further discuss a comprehensive list of applications of imaging spectroscopy, pre-processing techniques, and spectral image acquisition systems. Likewise, publicly available databases and current software tools for spectral data analysis are also documented in this review. This review paper, therefore, could potentially serve as a reference and roadmap for people looking for literature, databases, applications, and tools to undertake additional research in imaging spectroscopy.
dc.description.statementofresponsibilityAnam Zahra, Rizwan Qureshi, Muhammad Sajjad, Ferhat Sadak, Mehmood Nawaz, Haris Ahmad Khan, Muhammad Uzair
dc.identifier.citationExpert Systems with Applications, 2024; 238(part E):122172-1-122172-18
dc.identifier.doi10.1016/j.eswa.2023.122172
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.urihttps://hdl.handle.net/2440/140320
dc.language.isoen
dc.publisherElsevier
dc.rights© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
dc.source.urihttp://dx.doi.org/10.1016/j.eswa.2023.122172
dc.subjectImaging spectroscopy; Hyperspectral imaging; Image processing; Computer vision; Remote sensing; Deep learning
dc.titleCurrent advances in imaging spectroscopy and its state-of-the-art applications
dc.typeJournal article
pubs.publication-statusAccepted

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