Skip to main content
SpringerLink
Log in

Computer identification of multispectral satellite cloud imagery

  • Published:
Advances in Atmospheric Sciences Aims and scope Submit manuscript

Abstract

A dynamic clustering method based on multispectral satellite imagery to identify the different features is described. The channel combinations selected are for the different purposes in classification. Several cases are presented using the polar-orbiting satellite imageries.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Coakley, J. A. and D. G. Baldwin (1984), Towards the Objective Analysis of Clouds from Satellite Imagery DataJ. Climate Appl. Meteor 23: 1065–1099.

    Article  Google Scholar 

  • Hunt, G. E. (1973), Radiative properties of terrestrial clouds at visible and infrared thermal window wavelengths,Q. J. R. Meteorol. Soc.,99: 346–369.

    Google Scholar 

  • Kitting, R. L. and D. A. Langrebe, Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects, Trans.GE-14, 10.

  • Liljas, E. (1982), Automated Techniques for the Analysis of Satellite Cloud Imagery.Nowcasting, K. A. Browning, Academic Press, 177–190.

  • Liljas, E. (1986), Use of the AVHRR 3.7 Micrometer Channel in Multispectral Cloud Classification, SMHI.

  • Phulpin, T., M. Derrien and A. Brard (1983), A Two-Dimensional Histogram Procedure to Analyze Cloud Cover from NOAA Satellite High-Resolution Imagery,J. Climate Appl. Meteor.,22: 1332–1345.

    Article  Google Scholar 

  • Seze, G. and M. Desbois (1987), Cloud Cover Analysis from Satellite Imagery Using Spatial and Temporal Characteristic of the Data,J. Climate & Appl. Meteor. 26: 287–303.

    Article  Google Scholar 

  • Tsonis, A. A. (1984), On the separability of various classes from GOES visible and infrared data,J. Climate Appl. Meteor.,23: 1393–1410.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Atmospheric Physics, Academia Sinica, 100011, Beijing

    Li Jun & Zhou Fengxian

Authors
  1. Li Jun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhou Fengxian
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jun, L., Fengxian, Z. Computer identification of multispectral satellite cloud imagery. Adv. Atmos. Sci. 7, 366–375 (1990). https://doi.org/10.1007/BF03179768

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03179768

Keywords

Search

Navigation