Hyperspectral imaging is a digital spectroscopy, which combines methods, such as NIR (near infrared), visible, and fluorescence imaging. This technique is more sensitive and accurate to find objects, identify materials, or detect processes. The HS image processes information across electromagnetic spectrum. The technique aims at obtaining each pixel of the image, which is far or near in the scene. These images are then processed to make a 3-dimensional cube for spatial and spectral analysis.
The principle of the HSI is spectral-based contrast, which is generated by using a sample image’s either reflected, or transmitted or emitted light. In the process of image capturing, multiple wavelengths are used, and each pixel in an HS image comprises a spectrum over an appropriate spectral region.
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The Hyperspectral Sensor market is a subset of the larger Sensors market. Hyperspectral Sensors are used to measure the spectral properties of a scene or object, providing detailed information about the composition of the material. These sensors are used in a variety of applications, such as agriculture, mineral exploration, and environmental monitoring. Hyperspectral Sensors are typically composed of a spectrometer, a detector, and a data acquisition system.
The Hyperspectral Sensor market is expected to grow in the coming years due to increasing demand for remote sensing applications. The growing demand for precision agriculture and the need for accurate environmental monitoring are expected to drive the market. Additionally, the increasing use of unmanned aerial vehicles (UAVs) for remote sensing applications is expected to further boost the market.
Some of the major companies in the Hyperspectral Sensor market include Headwall Photonics, Resonon, Specim, Telops, and Xenics. Show Less Read more
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