Generalized Likelihood Ratio Tests for Linear Structure Detection in SAR Images
Konferenz: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
29.03.2021 - 01.04.2021 in online
Tagungsband: EUSAR 2021
Seiten: 6Sprache: EnglischTyp: PDF
Gasnier, Nicolas; Tupin, Florence (LTCI, Télécom Paris, Institut Polytechnique de Paris, France)
Denis, Loic (Univ Lyon, UJM-Saint-Étienne, CNRS, Institut d’Optique Graduate School, Laboratoire Hubert Curien, France)
The detection of linear structures in Synthetic Aperture Radar images is often used as a first step for further processing such as the extraction of road and river networks. In this paper, we propose a new method based on the Generalized Likelihood Ratio Test (GLRT) framework to evaluate at each pixel the likelihood of the presence of a linear structure. Results are presented on Sentinel-1 images and compared with a state-of-the-art method, also derived from the GLRT framework but with a simpler model of the lines. In our experiments, our method produces far fewer false positives than the reference method.