What is Hyperspectral Imaging System (HSI)
Hyper Spectral Imaging System (HSI) is a technology that uses special cameras to capture images in many different colours beyond what human eyes can see. These cameras break down the light spectrum into many narrow and closely spaced bands, which are then used to create an image. By analysing the unique spectral signatures of different materials, HIS can help identify and differentiate between different substances.
The Growing Trend of Hyper Spectral Imaging System Market and its Advantages in Various Research Projects:
Hyper Spectral Imaging (HSI) is becoming increasingly popular in various research projects globally, thanks to the advancements in hardware and software for image processing and analysis. This technique offers higher specificity, granularity, and faster image acquisition speed than other spectral imagers. Moreover, it is non-invasive, making it a preferred choice for various applications.
HSI is finding its applications in diverse fields, including healthcare, agriculture, environmental studies, and more. The increasing support from authorities through funding and grants contributes to its wider adoption. As more research projects continue to use HSI and experience its benefits, market players are expected to invest more in this technology.
Opportunities and Challenges in Hyperspectral Imaging
Opportunities:
- HSI technologies have successful applications in food and agriculture.
- Commercially available miniature imaging spectrographs/spectrometers and all-in-one small hyperspectral cameras make compact and portable imaging systems possible.
- Integrating Al capabilities through machine learning into hyperspectral imaging systems is becoming a new axis for developing smart sensing devices and instruments.
Challenges:
- Hyperspectral images have high resolution in the spectral domain but lower resolution in the spatial domain.
- Atmospheric scattering, secondary illumination, and sensor noise affect hyperspectral image quality.
- Improving spatial resolution is essential to utilise hyperspectral imaging systems in numerous applications better.
- Increasing spatial resolution through software is a significant problem, as replacing hardware is expensive.
Conclusion
The exponetial growth of the market can be attributed to the increasing adoption of hyperspectral imaging systems across various industries, such as healthcare, agriculture, and defence. The high specificity and granularity provided by hyperspectral imaging systems compared to other spectral imaging systems is driving their demand in the market.
Author's Detail:
Supriya R Ghadge, LinkedIn
I am working as a Senior Research Analyst, mainly involved in conducting market research in the Information and Communication, and Technology domain. Skilled in Secondary Research, Primary Research, Data Analytics Research approaches with extensive experience providing first-class results. Highly focused, have analytical skills, and synergetic with positive energizers. Meets job demands and deadlines through diligent work-ethic and dedication to quality. Works with clients to determine requirements and provide excellent service.
Author's Detail:
Supriya Jagtap /
LinkedIn
I am working as a Senior Research Analyst, mainly involved in conducting market research in the Information and Communication, and Technology domain. Skilled in Secondary Research, Primary Research, Data Analytics Research approaches with extensive experience providing first-class results. Highly focused, have analytical skills, and synergetic with positive energizers. Meets job demands and deadlines through diligent work-ethic and dedication to quality. Works with clients to determine requirements and provide excellent service.
