Hyperspectral Imaging Systems Market: Opportunities and Challenges

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CITY, Country, 2019-Nov-15 — /EPR Network/ —  The Global Hyperspectral Imaging Systems Market is projected to reach USD 21.33 billion by 2023 from USD 9.51 billion in 2018, at a CAGR of 17.5% during the forecast period.

What are the untapped market opportunities in emerging countries for players in the hyperspectral imaging system market?

The emerging economies in Asia and Latin America are expected to offer significant growth opportunities for players in the hyperspectral imaging system market. In China, for instance, a number of hyperspectral sensors were designed and launched to meet the rising demand for precise and fast mapping of natural resources using remote sensing applications. India has also opened up opportunities for collaborations with other countries.

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With increasing awareness among researchers about the latest technological innovations, the demand for hyperspectral imaging for academic-level research is increasing in the emerging markets. Adulteration of food is a growing concern in the food industry, especially in developing countries. Meeting the growing demand for low-cost production, without compromising on the quality of products, is among the topmost priorities for the food industry. These concerns are expected to drive the adoption of non-destructive hyperspectral technologies for food inspection in the future.

Why is it challenging to attain super-resolution in hyperspectral imaging in a cost-effective manner?

Hyperspectral imaging is an emerging technique used by researchers for broad application areas, such as aerial and space imagery, agriculture, ecology, geology, medicine, and industrial inspection. Although the resolution of a hyperspectral image is high in the spectral domain, it has a limited resolution in the spatial domain. Moreover, hyperspectral image quality is affected by various factors, such as atmospheric scattering, secondary illumination, and sensor noise. Therefore, it is essential to improve the spatial resolution for better utilization of this technique for various applications. Since changes in hardware (hyperspectral camera units) prove to be expensive, bringing in improvements in spatial resolution through software is a major challenge currently faced by players in the hyperspectral imaging system market.

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