Markov random fields in image processing application to remote sensing and astrophysics

J. Zerubia, A. Jalobeanu, Z. Kato

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The modeling of remote sensing and astrophysics applications by random Markov fields (MRF) image processing techniques was discussed. The MRF method enabled the construction of an automatic image deconvolution method, within a stochastic framework. The MRF models express global constraints or hypothesis in a local way. They are applied to remote sensing applications such as road network detection, urban area extraction, image classification for precision farming, super resolution and digital elevation map. Their application in astrophysics includes planetary imaging.

Original languageEnglish
Pages (from-to)Pr1117-Pr1136
JournalJournal De Physique. IV : JP
Volume12
Issue number1
Publication statusPublished - Mar 1 2002
Event4e Ecole d'astrophysique d'Oleron - d'Oleron, France
Duration: Jun 21 1999Jun 25 1999

    Fingerprint

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this