Hyperspectral imaging and its applications: A review.

Area of Science:

• Remote Sensing
• Spectroscopy
• Data Science

Background:

• Hyperspectral imaging (HSI) has become a powerful tool in military, environmental, and civil sectors over 30 years.
• Modern remote sensing provides extensive Earth surface coverage with high temporal, spectral, and spatial resolutions.
• HSI enables material identification and analysis of composite surfaces through detailed spectral information.

Purpose of the Study:

• To review the fundamentals of hyperspectral imaging (HSI).
• To explore the diverse applications of HSI, including food safety, medical analysis, agriculture, water resources, plant stress, crop discrimination, and flood management.
• To provide a baseline for future research and advancements in HSI systems.

Main Methods:

• Literature review of hyperspectral imaging techniques and applications.
• Analysis of HSI's capabilities in spectral, spatial, and temporal resolutions.
• Synthesis of current research trends and future directions in HSI.

Main Results:

• HSI is effective for material identification and analysis in complex environments.
• Significant advancements in HSI applications for food quality, medical diagnostics, and precision agriculture.
• HSI contributes to effective water resource management, plant stress detection, and flood monitoring.

Conclusions:

• Hyperspectral imaging is a versatile technology with broad applicability.
• Ongoing research is developing promising automated systems based on HSI.
• This review serves as a foundation for future HSI research and development.