Non-Uniform Markov Random Fields for Classification of SAR Images

Konferenz: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06.06.2016 - 09.06.2016 in Hamburg, Germany

Tagungsband: EUSAR 2016

Seiten: 4Sprache: EnglischTyp: PDF

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Lobry, Sylvain; Tupin, Florence (LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, France)
Fjortoft, Roger (CNES, France)

When dealing with SAR image classification, the class parameters may vary along the swath for several reasons. Traditional classification algorithms are then not well adapted, as they assume constant class parameters. In this paper, we propose a binary classification algorithm based on Markov Random Fields that take into account the parameters variations in the swath, and we present results obtained on airborne TropiSAR and simulated SWOT HR data.