Hyperspectral Sensor collects and processes information across the electromagnetic spectrum. The goal of hyperspectral Sensor is to obtain a spectrum for each pixel in a scene image for the purpose of finding objects, identifying materials, or detecting processes. There are three general branches of a spectral imager. There are push-broom scanners and their associated whisk-broom scanners that read images over time (spatial scanning), band-sequential scanners that acquire images of regions at different wavelengths (spectral scanning), and snapshot hyperspectral Sensor using gaze arrays. there is. Create images in seconds.
While the human eye sees most of the colours of visible light in three bands (long wavelength – perceived as red, medium wavelength – perceived as green, and short wavelength – perceived as blue), spectral Sensor divides the spectrum into more bands . This technique of dividing an image into bands can be extended beyond what it seems. In hyperspectral Sensor , the recorded spectrum has a fine wavelength resolution and covers a wide range of wavelengths. Hyperspectral Sensor measures continuous spectral bands as opposed to multiband Sensor, which measures spaced spectral bands.
Engineers build hyperspectral sensors and processing systems for applications in astronomy, agriculture, molecular biology, biomedical Sensor, earth science, physics, and surveillance. Hyperspectral sensors use a vast portion of the electromagnetic spectrum to see objects. Certain objects leave a unique ‘fingerprint’ on the electromagnetic spectrum. These ‘fingerprints’, known as spectral signatures, allow you to identify the materials that make up the scanned object. Oil’s spectral signature, for example, helps geologists find new oil fields.