SCI series single-exposure hyperspectral camera
Hyperspectral imaging technology is a technique that combines imaging and spectral analysis. By obtaining the spatial information of the target and continuous narrow-band spectral data, it forms a three-dimensional data cube that integrates the spectrum and the image. Compared with RGB cameras or multispectral (several to a dozen bands) cameras, hyperspectral data can more comprehensively reflect the spectral characteristics of objects and is widely used in industrial inspection, remote sensing, agriculture, environmental monitoring and other fields.
The principle of single-exposure compression imaging is to encode the spectrum of incident light field and the high-dimensional signal by hardware, and using a two-dimensional area array sensor for a single exposure to compress the high-dimensional spatial-spectral data into low-dimensional measurement values, thereby achieving compression acquisition. Through deep learning or optimization algorithms, the original spectral cube can be accurately reconstructed from the compressed measurement values, enabling high-fidelity, high-dimensional real-time imaging.
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