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

dc.contributor.authorZahra, Anam
dc.contributor.authorQureshi, Rizwan
dc.contributor.authorSajjad, Muhammad
dc.contributor.authorSadak, Ferhat
dc.contributor.authorNawaz, Mehmood
dc.contributor.authorKhan, Haris Ahmad
dc.contributor.authorUzair, Muhammad
dc.contributor.authorSadak, Ferhat
dc.date.accessioned2025-10-18T13:24:52Z
dc.date.created2023
dc.date.issued2023
dc.departmentFakülteler, Mühendislik Mimarlık ve Tasarım Fakültesi, Makine Mühendisliği Bölümü
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.identifier.doi10.1016/j.eswa.2023.122172
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.orcidSajjad, Muhammad/0000-0002-1576-1342
dc.identifier.orcidSadak, Ferhat/0000-0003-2391-4836
dc.identifier.orcidNawaz, Mehmood/0000-0002-0978-2163
dc.identifier.orcidUzair, Muhammad/0000-0001-5964-4351
dc.identifier.orcidKhan, Haris Ahmad/0000-0003-4305-1935
dc.identifier.orcidQureshi, Rizwan/0000-0002-0039-982X;
dc.identifier.scopus2-s2.0-85174909244
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2023.122172
dc.identifier.urihttps://hdl.handle.net/11772/23163
dc.identifier.volume238
dc.identifier.wosWOS:001096441800001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-02: Zero Hunger
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWoS_20251016
dc.subjectImaging Spectroscopy
dc.subjectHyperspectral Imaging
dc.subjectImage Processing
dc.subjectComputer Vision
dc.subjectRemote Sensing
dc.subjectDeep Learning
dc.titleCurrent advances in imaging spectroscopy and its state-of-the-art applications
dc.typeReview Article
dspace.entity.typePublication
relation.isAuthorOfPublication45e0df8e-2afd-435b-995e-4f8e38ddd085
relation.isAuthorOfPublication.latestForDiscovery45e0df8e-2afd-435b-995e-4f8e38ddd085

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