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