Imaging spectroscopy

Imaging spectroscopy, also known as hyperspectral imaging, combines the principles of spectroscopy and remote sensing to capture detailed spectral information for each pixel in an image. Traditional remote sensing systems capture data in a few spectral bands, while imaging spectroscopy collects data across hundreds or even thousands of narrow spectral bands. This enables precise characterization of materials based on their spectral signatures, allowing for applications such as mineral identification, environmental monitoring, agriculture, and target detection in defense and security. The high-dimensional data produced by imaging spectroscopy requires advanced processing techniques like spectral unmixing and classification to extract meaningful information.

Here's a brief overview of imaging spectroscopy:

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