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Improving information content of images of vegetation objects using spectral data

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Abstract

We propose a calculation procedure for obtaining multispectral images in remote sensing of vegetation objects in the spectral range 400–1000 nm, based on three-channel spectral zonal images and reference spectra measured at several points of the recorded scene. The procedure makes it possible to improve the information content of the data for solving various thematic classification problems.

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Authors and Affiliations

  1. A. N. Sevchenko Scientific Research Institute of Applied Physics Problems, Belorussian State University, 7 ul. Kurchatova, Minsk, 220064

    Yu. V. Belyaev, L. V. Katkovskii, S. V. Khvalei & A. D. Khomitsevich

Authors
  1. Yu. V. Belyaev
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  2. L. V. Katkovskii
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  3. S. V. Khvalei
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  4. A. D. Khomitsevich
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Corresponding author

Correspondence to S. V. Khvalei.

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Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 74, No. 5, pp. 670–676, September–October, 2007.

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Belyaev, Y.V., Katkovskii, L.V., Khvalei, S.V. et al. Improving information content of images of vegetation objects using spectral data. J Appl Spectrosc 74, 744–751 (2007). https://doi.org/10.1007/s10812-007-0119-3

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  • DOI: https://doi.org/10.1007/s10812-007-0119-3

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