In this paper, a unified framework was applied to derive compact polarimetric Synthetic Aperture Radar (SAR) features under general transmit and linear receive polarization conditions. Following the rationale of polarization signature, the characteristics of features derived by transmission of variant roll angles and ellipticity are analyzed. Statistical distance was proposed to quantitatively measure the performance of these compact polarimetric SAR features on marine oil spill classification. Experiment was conducted on a Radarsat-2 quad-pol SAR scene acquired during a controlled oil-on-water exercise.

On the optimal compact polarimetric SAR modes and features for marine oil spill classification / Li, Y.; Zhang, Y.; Migliaccio, M.; Nunziata, F.; Buono, A.. - 2018-:(2018), pp. 2435-2438. ( 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 esp ) [10.1109/IGARSS.2018.8517419].

On the optimal compact polarimetric SAR modes and features for marine oil spill classification

Migliaccio M.;Nunziata F.;
2018

Abstract

In this paper, a unified framework was applied to derive compact polarimetric Synthetic Aperture Radar (SAR) features under general transmit and linear receive polarization conditions. Following the rationale of polarization signature, the characteristics of features derived by transmission of variant roll angles and ellipticity are analyzed. Statistical distance was proposed to quantitatively measure the performance of these compact polarimetric SAR features on marine oil spill classification. Experiment was conducted on a Radarsat-2 quad-pol SAR scene acquired during a controlled oil-on-water exercise.
2018
38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Compact polarimetric; Oil spill; SAR
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
On the optimal compact polarimetric SAR modes and features for marine oil spill classification / Li, Y.; Zhang, Y.; Migliaccio, M.; Nunziata, F.; Buono, A.. - 2018-:(2018), pp. 2435-2438. ( 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 esp ) [10.1109/IGARSS.2018.8517419].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1718717
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