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Hyper- and Multi-spectral Imaging Technologies

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Encyclopedia of Digital Agricultural Technologies

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Definition

Spectral imaging is a technique used to capture and analyze the spectrum of light reflected, transmitted or emitted by an object. The technology combines imaging and spectroscopy in a single system to obtain both spatial and spectral information of the material being studied. The difference between multi- and hyper- spectral imaging is defined as a function of the number of spectral bands measured. Multispectral data sets are usually composed of <10 spectral bands of relatively wide bandwidths (70–400 nm), while hyperspectral data sets are generally composed of >100 contiguous spectral bands of relatively narrow bandwidths (5–10 nm). In addition, they can also be defined as a function of the wavelength region used to obtain the images, visible (400–700 nm), and near infrared (800–2500 nm). Sensors based on hyper- and multi-spectral imaging technologies are widely used in precision agriculture for monitoring and characterizing vegetation at different spatial, spectral, and...

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Authors and Affiliations

  1. Department of Agricultural Engineering, Geisenheim University, Geisenheim, Germany

    Nikos Tsoulias & Dimitrios S. Paraforos

  2. School of Biosystems and Food Engineering, University College Dublin (UCD), Dublin, Ireland

    Ming Zhao & Dimitrios Argyropoulos

Authors
  1. Nikos Tsoulias
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  2. Ming Zhao
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  3. Dimitrios S. Paraforos
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  4. Dimitrios Argyropoulos
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Corresponding author

Correspondence to Dimitrios Argyropoulos .

Editor information

Editors and Affiliations

  1. Biological Systems Engineering, Washington State University, Prosser, WA, USA

    Qin Zhang

Section Editor information

  1. Department of Biosystems, University of Leuven, Heverlee Leuven, Belgium

    Tomas Norton

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Tsoulias, N., Zhao, M., Paraforos, D.S., Argyropoulos, D. (2023). Hyper- and Multi-spectral Imaging Technologies. In: Zhang, Q. (eds) Encyclopedia of Digital Agricultural Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-24861-0_65

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