Investigations into the X and C band Quad-Pol features for oil slick characterization
Singha S, Ressel R, Lehner S (2016)
Publication Type: Conference contribution
Publication year: 2016
Conference Proceedings Title: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Event location: Hamburg, DEU
Abstract
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.
Involved external institutions
Germany (DE)How to cite
APA:
Singha, S., Ressel, R., & Lehner, S. (2016). Investigations into the X and C band Quad-Pol features for oil slick characterization. In Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. Hamburg, DEU.
MLA:
Singha, Suman, Rudolf Ressel, and Susanne Lehner. "Investigations into the X and C band Quad-Pol features for oil slick characterization." Proceedings of the 11th European Conference on Synthetic Aperture Radar, EUSAR 2016, Hamburg, DEU 2016.
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