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- Publisher Website: 10.1016/j.eswa.2023.122172
- Scopus: eid_2-s2.0-85174909244
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Article: Current advances in imaging spectroscopy and its state-of-the-art applications
Title | Current advances in imaging spectroscopy and its state-of-the-art applications |
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Authors | |
Keywords | Computer vision Deep learning Hyperspectral imaging Image processing Imaging spectroscopy Remote sensing |
Issue Date | 2024 |
Citation | Expert Systems with Applications, 2024, v. 238, article no. 122172 How to Cite? |
Abstract | Imaging 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. |
Persistent Identifier | http://hdl.handle.net/10722/349982 |
ISSN | 2023 Impact Factor: 7.5 2023 SCImago Journal Rankings: 1.875 |
DC Field | Value | Language |
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dc.contributor.author | Zahra, Anam | - |
dc.contributor.author | Qureshi, Rizwan | - |
dc.contributor.author | Sajjad, Muhammad | - |
dc.contributor.author | Sadak, Ferhat | - |
dc.contributor.author | Nawaz, Mehmood | - |
dc.contributor.author | Khan, Haris Ahmad | - |
dc.contributor.author | Uzair, Muhammad | - |
dc.date.accessioned | 2024-10-17T07:02:17Z | - |
dc.date.available | 2024-10-17T07:02:17Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Expert Systems with Applications, 2024, v. 238, article no. 122172 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349982 | - |
dc.description.abstract | Imaging 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.language | eng | - |
dc.relation.ispartof | Expert Systems with Applications | - |
dc.subject | Computer vision | - |
dc.subject | Deep learning | - |
dc.subject | Hyperspectral imaging | - |
dc.subject | Image processing | - |
dc.subject | Imaging spectroscopy | - |
dc.subject | Remote sensing | - |
dc.title | Current advances in imaging spectroscopy and its state-of-the-art applications | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.eswa.2023.122172 | - |
dc.identifier.scopus | eid_2-s2.0-85174909244 | - |
dc.identifier.volume | 238 | - |
dc.identifier.spage | article no. 122172 | - |
dc.identifier.epage | article no. 122172 | - |