TY - JOUR
T1 - Current advances in imaging spectroscopy and its state-of-the-art applications
AU - Zahra, Anam
AU - Qureshi, Rizwan
AU - Sajjad, Muhammad
AU - Sadak, Ferhat
AU - Nawaz, Mehmood
AU - Khan, Haris Ahmad
AU - Uzair, Muhammad
N1 - Publisher Copyright:
© 2023 The Author(s). Published by Elsevier Ltd
PY - 2024/3/15
Y1 - 2024/3/15
N2 - 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.
AB - 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.
KW - Computer vision
KW - Deep learning
KW - Hyperspectral imaging
KW - Image processing
KW - Imaging spectroscopy
KW - Remote sensing
UR - http://www.scopus.com/inward/record.url?scp=85174909244&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2023.122172
DO - 10.1016/j.eswa.2023.122172
M3 - Journal article
AN - SCOPUS:85174909244
SN - 0957-4174
VL - 238, Part E
JO - Expert Systems with Applications
JF - Expert Systems with Applications
M1 - 122172
ER -