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  2. Hyperspectral imaging - Wikipedia

    en.wikipedia.org/wiki/Hyperspectral_imaging

    Multispectral images do not produce the "spectrum" of an object. Landsat is a prominent practical example of multispectral imaging. Hyperspectral deals with imaging narrow spectral bands over a continuous spectral range, producing the spectra of all pixels in the scene.

  3. Multispectral pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Multispectral_pattern...

    Subcategories of multispectral remote sensing include hyperspectral, in which hundreds of bands are collected and analyzed, and ultraspectral remote sensing where many hundreds of bands are used (Logicon, 1997). The main purpose of multispectral imaging is the potential to classify the image using multispectral classification.

  4. Multispectral imaging - Wikipedia

    en.wikipedia.org/wiki/Multispectral_imaging

    Multispectral imaging has also found use in document and painting analysis. [3] [4] Multispectral imaging measures light in a small number (typically 3 to 15) of spectral bands. Hyperspectral imaging is a special case of spectral imaging where often hundreds of contiguous spectral bands are available. [5]

  5. Spectral imaging - Wikipedia

    en.wikipedia.org/wiki/Spectral_imaging

    In hyperspectral imaging, a complete spectrum or some spectral information (such as the Doppler shift or Zeeman splitting of a spectral line) is collected at every pixel in an image plane. A hyperspectral camera uses special hardware to capture hundreds of wavelength bands for each pixel, which can be interpreted as a complete spectrum.

  6. Spectroradiometry for Earth and planetary remote sensing

    en.wikipedia.org/wiki/Spectroradiometry_for...

    A figure illustrating the differences between multi-and hyperspectral imaging. A hyperspectral sensor collects spectral data in a continuous spectrum whereas a multispectral sensor collects spectral data in varying bandwidths in the EM spectrum. In modern times, multi-and hyperspectral imaging sensors are mainly

  7. Imaging spectrometer - Wikipedia

    en.wikipedia.org/wiki/Imaging_spectrometer

    Hyperspectral data is often used to determine what materials are present in a scene. Materials of interest could include roadways, vegetation, and specific targets (i.e. pollutants, hazardous materials, etc.). Trivially, each pixel of a hyperspectral image could be compared to a material database to determine the type of material making up the ...

  8. Full-spectrum photography - Wikipedia

    en.wikipedia.org/wiki/Full-spectrum_photography

    Full-spectrum photography is a subset of multispectral imaging, defined among photography enthusiasts as imaging with consumer cameras the full, broad spectrum of a film or camera sensor bandwidth. In practice, specialized broadband/full-spectrum film captures visible and near infrared light, commonly referred to as the " VNIR ".

  9. Multispectral optoacoustic tomography - Wikipedia

    en.wikipedia.org/wiki/Multispectral_optoacoustic...

    Multi-spectral. MSOT collects images at multiple wavelengths and resolves the spectral signatures in each voxel imaged, making it a multi-spectral method. Typically, MSOT is used to generate three images: one anatomical image at a single wavelength, one functional image resolving oxy- and deoxy-hemoglobin concentrations, and a third image resolving additional target photoabsorber(s).

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