Investigations into the X and C band Quad-Pol features for oil slick characterization
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: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Singha, Suman; Ressel, Rudolf; Lehner, Susanne (Maritime Security Lab, German Aerospace Center (DLR), Germany)
We explores the possibilities and advantages of quad polarimetric SAR data for the purpose of oil spill detection and discrimination of different types of slicks and look-alikes. An array of polarimetric features derived from the Pauli and lexicographic basis scattering matrices, both in C and X-band have been proposed. Those sets of features are then used to train and validate an ANN classifier. On a dataset of near-coincident TerraSAR-X (TS-X) and RADARSAT-2 (RS-2) acquisitions we perform a feature analysis in terms of relevance and redundancy for oil slick characterization and ranked according to their ability to discriminate between oil spills and look-alikes. Polarimetric features such as Scattering diversity, Surface scattering fraction, Entropy and Span proved to be more discriminative than other polarimetric features.