Hyperspectral Remote Sensing

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An overview of hyperspectral remote sensing, including the principles of spectral resolution and how it can be used to identify and distinguish different materials.

- "Hyperspectral imaging collects and processes information from across the electromagnetic spectrum."
- "The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes."
- "There are push broom scanners and the related whisk broom scanners (spatial scanning), band sequential scanners (spectral scanning), and snapshot hyperspectral imagers."
- "Whereas the human eye sees color of visible light in mostly three bands, spectral imaging divides the spectrum into many more bands."
- "Hyperspectral imaging measures continuous spectral bands, as opposed to multiband imaging which measures spaced spectral bands."
- "Engineers build hyperspectral sensors and processing systems for applications in astronomy, agriculture, molecular biology, biomedical imaging, geosciences, physics, and surveillance."
- "Certain objects leave unique 'fingerprints' in the electromagnetic spectrum. Known as spectral signatures, these 'fingerprints' enable identification of the materials that make up a scanned object."
- "For example, a spectral signature for oil helps geologists find new oil fields." Note: Due to the paragraph's length and the limited space for quotes, not all questions have direct quotes to provide as answers.