Estimation of cloud microstructural parameters from satellite imagery: A Markov random field approach

Authors

  • SUJIT BASU
  • M MOHAN
  • VIJAYK AGARWAL

DOI:

https://doi.org/10.54302/mausam.v40i3.2108

Abstract

Estimation of microstructural parameters controlling clustering in different directions or a cloud scene is investigated. The cloud scene is represent.ed as a Markov ran~om field and the parameters are estimated by a maximum likelihood technique. A surrogate Image, corresp°!ldmg to each scene, is generated by a Monte-Carlo procedure. Results of analysing NOAA and INSA T cloud Images are presented

Author Biography

VIJAYK AGARWAL

`

Downloads

Published

01-07-1989

How to Cite

[1]
S. BASU, M. MOHAN, and V. AGARWAL, “Estimation of cloud microstructural parameters from satellite imagery: A Markov random field approach”, MAUSAM, vol. 40, no. 3, Jul. 1989.

Issue

Vol. 40 No. 3 (1989): Mausam

Section

Research Papers

License

Copyright (c) 2021 MAUSAM

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.

Anyone is free:

  • To Share - to copy, distribute and transmit the work
  • To Remix - to adapt the work.

Under the following conditions:

  • Share - copy and redistribute the material in any medium or format
  • Adapt - remix, transform, and build upon the material for any purpose, even
    commercially.