Non-Uniform Markov Random Fields for Classification of SAR Images
Conference: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06/06/2016 - 06/09/2016 at Hamburg, Germany
Proceedings: EUSAR 2016
Pages: 4Language: englishTyp: PDF
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Authors:
Lobry, Sylvain; Tupin, Florence (LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, France)
Fjortoft, Roger (CNES, France)
Abstract:
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.