A multi-family GLRT-based algorithm for oil spill detection
De Maio, Antonio and Orlando, Danilo and Pallotta, Luca and Clemente, Carmine (2017) A multi-family GLRT-based algorithm for oil spill detection. IEEE Transactions on Geoscience and Remote Sensing, 55 (1). pp. 63-79. ISSN 0196-2892 (https://doi.org/10.1109/TGRS.2016.2594867)
Preview |
Text.
Filename: De_Maio_IEEETGRS2016_multi_family_GLRT_based_algorithm_for_oil_spill_detection.pdf
Final Published Version License: Download (2MB)| Preview |
Abstract
This paper deals with detection of oil spills from multi-polarization SAR images. The problem is cast in terms of a composite hypothesis test aimed at discriminating between the Polarimetric Covariance Matrix (PCM) equality (absence of oil spills in the tested region) and the situation where the region under test exhibits a PCM with at least an ordered eigenvalue smaller than that of a reference covariance. This last setup reflects the physical condition where the back scattering associated with the oil spills leads to a signal, in some eigen-directions, weaker than the one gathered from a reference area where it is a-priori known the absence of any oil slicks. A Multi-family Generalized Likelihood Ratio Test (MGLRT) approach is pursued to come up with an adaptive detector ensuring the Constant Alarm False Rate (CFAR) property. At the analysis stage, the behavior of the new architecture is investigated in comparison with a benchmark (but non-implementable) structure and some other sub-optimum adaptive detectors available in open literature. The study, conducted in the presence of both simulated and real data, confirms the practical effectiveness of the new approach.
ORCID iDs
De Maio, Antonio, Orlando, Danilo, Pallotta, Luca and Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X;-
-
Item type: Article ID code: 57110 Dates: DateEvent31 January 2017Published18 October 2016Published Online12 July 2016AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 26 Jul 2016 14:07 Last modified: 04 Oct 2024 00:24 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/57110