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Man–computer interactive method on cloud classification based on bispectral satellite imagery

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Abstract

A bispectral cloud classification method based on man-computer interactive way, i.e. a unit feature space classification method (UFSCM), has been presented in this paper. Apart from land and water, six types of clouds including cumulonimbus, multilayer cloud system, thin / think cirrus, middle and low level clouds are recognized. The method has been tested by using more than two hundred samples, with total accuracy reaching 87.1 %.

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Authors and Affiliations

  1. Department of Atmospheric Sciences, Nanjing University, 210093, Nanjing

    Yu Fan & Liu Changsheng

  2. Department of Atmospheric Physics, Nanjing Institute of Meteorology, 210044, Nanjing

    Chen Weimin

Authors
  1. Yu Fan
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  2. Liu Changsheng
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  3. Chen Weimin
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Fan, Y., Changsheng, L. & Weimin, C. Man–computer interactive method on cloud classification based on bispectral satellite imagery. Adv. Atmos. Sci. 14, 389–398 (1997). https://doi.org/10.1007/s00376-997-0058-1

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  • DOI: https://doi.org/10.1007/s00376-997-0058-1

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