Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/10459
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dc.contributor.authorZahra, Anamen_US
dc.contributor.authorQureshi, Rizwanen_US
dc.contributor.authorSajjad, Muhammaden_US
dc.contributor.authorSadak, Ferhaten_US
dc.contributor.authorDr. NAWAZ Mehmooden_US
dc.contributor.authorKhan, Haris Ahmaden_US
dc.contributor.authorUzair, Muhammaden_US
dc.date.accessioned2024-09-07T04:02:05Z-
dc.date.available2024-09-07T04:02:05Z-
dc.date.issued2024-
dc.identifier.citationExpert Systems with Applications, 2024, vol. 238, article no. 122172.en_US
dc.identifier.issn1873-6793-
dc.identifier.issn0957-4174-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/10459-
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.en_US
dc.language.isoenen_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.titleCurrent advances in imaging spectroscopy and its state-of-the-art applicationsen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2023.122172-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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