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

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.

Publication DOI: https://doi.org/10.1016/j.eswa.2023.122172
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
Aston University (General)
Additional Information: Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
Publication ISSN: 1873-6793
Last Modified: 05 Nov 2025 08:14
Date Deposited: 04 Nov 2025 16:36
Full Text Link:
Related URLs: https://www.sci ... 674X?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2024-03-15
Published Online Date: 2023-10-17
Accepted Date: 2023-10-13
Authors: Zahra, Anam
Qureshi, Rizwan
Sajjad, Muhammad
Sadak, Ferhat (ORCID Profile 0000-0003-2391-4836)
Nawaz, Mehmood
Khan, Haris Ahmad
Uzair, Muhammad

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License: Creative Commons Attribution


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