The Future of Hyperspectral Imaging

Area of Science:

• Optics and Photonics
• Computer Science
• Materials Science

Background:

• This special issue compiles 12 papers on hyperspectral imaging (HSI), focusing on future trends and advancements.
• Nine research papers present current applications, while three review contributions highlight emerging methodologies and instruments.

Discussion:

• Review papers delve into deep learning for HSI data analysis and advanced HSI data compression techniques, including liquid crystal spectral multiplexing and DMD-based Raman spectroscopy.
• Specific research applications showcase HSI's potential in early detection of potato tuber sprouting, assessing painting sample stability, predicting diabetic foot ulcer healing, and age determination of fingerprints.

Key Insights:

• HSI enables diverse applications such as dynamic scene analysis, plant disease localization, lossless data compression, multiband image fusion, and laser HSI for sorting and quality control.
• Methodological advancements include novel approaches for HSI data compression and analysis, enhancing the utility of spectral information.

Outlook:

• Future HSI development will likely integrate deep learning for enhanced analysis and explore novel compression strategies for efficient data handling.
• The broad applicability of HSI across various scientific and industrial domains indicates continued growth and innovation in the field.