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

Anam Zahra, Rizwan Qureshi, Muhammad Sajjad, Ferhat Sadak, Mehmood Nawaz, Haris Ahmad Khan*, Muhammad Uzair

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

24 Citations (Scopus)

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.

Original languageEnglish
Article number122172
Number of pages18
JournalExpert Systems with Applications
Volume238, Part E
Early online date17 Oct 2023
DOIs
Publication statusPublished - 15 Mar 2024

Scopus Subject Areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

User-Defined Keywords

  • Computer vision
  • Deep learning
  • Hyperspectral imaging
  • Image processing
  • Imaging spectroscopy
  • Remote sensing

Fingerprint

Dive into the research topics of 'Current advances in imaging spectroscopy and its state-of-the-art applications'. Together they form a unique fingerprint.

Cite this