The Experts below are selected from a list of 6021 Experts worldwide ranked by ideXlab platform
Maurizio Migliaccio - One of the best experts on this subject based on the ideXlab platform.
-
SAR Polarimetry for Effective Sea Oil Slick Observation
2018 IEEE OES Baltic International Symposium (BALTIC), 2018Co-Authors: Maurizio Migliaccio, Ferdinando Nunziata, Andrea BuonoAbstract:In the context of sea Oil Slick observation, satellite Synthetic Aperture Radar (SAR) is the most effective remote sensing tool to observe illegal Oil spills, support remediation activities and to monitor offshore critical infrastructures as Oil fields. Nowadays, the availability of a virtual constellation of polarimetric SARs characterized by multi–polarization, multi-frequency and multi-imaging capabilities offers the unique opportunity to exploit an unprecedented amount of information for sea Oil Slick observation purposes. In this study, among the different polarimetric features that allow: i) detecting sea Oil Slicks, ii) discriminating strong– from weak–damping surfactants and iii) providing a spatial zoning of the damping properties of a given surfactant, the standard deviation of the co–polarized phase difference (CPD) is considered. Experimental results, undertaken over a wide dataset of actual SAR imagery collected at different imaging modes (frequency, incidence angle, noise floor, polarization) under different environmental conditions (sea state, type of Oil), showed that the standard deviation of the CPD is a reliable and robust polarimetric parameter to perform effective sea Oil Slick monitoring.
-
x band two scale sea surface scattering model to predict the contrast due to an Oil Slick
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016Co-Authors: Antonio Montuori, Maurizio Migliaccio, Ferdinando Nunziata, Piotr SobieskiAbstract:In this study, a sea/Oil contrast model, based on the two-scale sea surface scattering Boundary Perturbation Model and an improved Marangoni damping model, is exploited to predict the X-band contrast due to an Oil Slick. Theoretical predictions are then compared with actual X-band synthetic aperture radar (SAR) measurements collected by COSMO-SkyMed and TerraSAR-X satellites over the polluted area off the Aberdeen coast (United Kingdom) during the Gannet Alpha Oil spillage occurred in 2011. The contrast model is here verified at X-band for the first time and exploited in a very challenging scenario, i.e., when an Oil Slick is in place. In addition, a detailed analysis on the effect of sensor's noise equivalent sigma zero (NESZ) on the predicted and measured contrast is undertaken. Experimental results confirm model predictions, witnessing a remarkable agreement between predicted and measured contrasts. Moreover, they demonstrate that NESZ significantly affects the information content of the signal backscattered off the Oil-covered area.
-
polarimetric analysis of compact polarimetry sar architectures for sea Oil Slick observation
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Andrea Buono, Ferdinando Nunziata, Maurizio MigliaccioAbstract:In this paper, a theoretical and experimental analysis of polarimetric synthetic aperture radar (SAR) architectures is undertaken for sea Oil Slick observation purposes. Reference is made to the conventional full-polarimetric (FP) SAR that is here contrasted with new-generation polarimetric SAR architectures, known as compact-polarimetric (CP) SAR. Two CP modes are considered, i.e., the hybrid-polarity and π/4 modes, whose measurements are emulated from actual L- and C-band FP SAR data. Polarimetric sea surface scattering is predicted according to an extended version of the Bragg scattering model (X-Bragg) in order to point out the differences exhibited between FP and CP SAR architectures and among CP SAR modes. Theoretical predictions are then contrasted with experiments undertaken on actual polarimetric SAR data collected over well-known Oil Slicks and weak-damping surfactants. Results confirm model prediction, showing that differences mainly apply when polarimetric features are estimated over Slick-free sea surface using different SAR architectures, with the π/4 mode behaving closer to FP SAR. Although CP SAR architectures measure only a subset of the FP information content, they represent an interesting operational alternative for both detecting Oil Slicks and discriminating them from weak-damping surfactants.
-
sar polarimetry for sea Oil Slick observation
Journal of remote sensing, 2015Co-Authors: Maurizio Migliaccio, Ferdinando Nunziata, Andrea BuonoAbstract:In this article, a review of polarimetric synthetic aperture radar SAR methods for sea Oil Slick observation is presented. Marine Oil pollution monitoring is a topic of great applicative and scientific relevance. In this framework, the use of remotely sensed measurements is of special interest and, in particular, the SAR because of its almost all-weather and all-day imaging capability at fine spatial resolution is the most effective tool. Conventional single-polarization SAR Oil spill monitoring techniques are limited in their capability to detect Oil Slicks since they strongly rely on suitable thresholds, training samples, and ancillary information. Hence, an expert image analyst is due. The launch of a number of polarimetric SAR missions, along with the understanding of the peculiar physical mechanisms governing the scattering by an Oil Slick, led to a new paradigm known as physical processing that fostered a set of polarimetric algorithms particularly robust and efficient. Hence, suitable polarimetric models that exploit the departure from the Slick-free sea Bragg scattering have been developed to effectively address Oil Slick monitoring. A set of polarimetric features extracted following such electromagnetic models have been proved to be reliable for Oil Slick monitoring. Polarimetric SAR observations led to a significant improvement in sea Oil Slick observation since they allow distinguishing Oil Slicks from a broad class of lookalikes in an unsupervised way. In addition, deeper information on the damping properties of the pollutant can be also inferred, which is of paramount importance for remediation purposes. Such physical processing has been demonstrated to be robust at variance of microwave carrier frequency, e.g. L-, C-, and X-band, and suitable to be exploited to extract information by dual-polarized, full-polarized, and compact modes. All these make such a physical approach of operational interest since it is able to exploit a larger set of SAR measurements building up a virtual constellation. In this review all these are detailed.
-
On the degree of polarization for SAR sea Oil Slick observation
ISPRS Journal of Photogrammetry and Remote Sensing, 2013Co-Authors: Ferdinando Nunziata, A. Gambardella, Maurizio MigliaccioAbstract:Abstract A polarimetric model to relate the degree of polarization, DoP , to the sea surface scattering with and without Oil Slicks, under low-to-moderate wind conditions, is proposed. DoP , measured directly from the Mueller scattering matrix, is shown to be a reliable measure of the departure from Bragg scattering; a phenomenon that, under low-to-moderate wind conditions, occurs when an Oil Slick is present. Following this theoretical rationale, a simple filter is developed to observe Oil Slicks in quad-polarimetric full-resolution Synthetic Aperture Radar (SAR) data. Experiments, undertaken on a meaningful set of quad-polarization Single Look Complex (SLC) C-band RADARSAT-2 SAR data, where both well-known Oil Slicks and a weak-damping look-alike are in place, demonstrate the soundness of the model and its effectiveness from an operational viewpoint.
Ferdinando Nunziata - One of the best experts on this subject based on the ideXlab platform.
-
SAR Polarimetry for Effective Sea Oil Slick Observation
2018 IEEE OES Baltic International Symposium (BALTIC), 2018Co-Authors: Maurizio Migliaccio, Ferdinando Nunziata, Andrea BuonoAbstract:In the context of sea Oil Slick observation, satellite Synthetic Aperture Radar (SAR) is the most effective remote sensing tool to observe illegal Oil spills, support remediation activities and to monitor offshore critical infrastructures as Oil fields. Nowadays, the availability of a virtual constellation of polarimetric SARs characterized by multi–polarization, multi-frequency and multi-imaging capabilities offers the unique opportunity to exploit an unprecedented amount of information for sea Oil Slick observation purposes. In this study, among the different polarimetric features that allow: i) detecting sea Oil Slicks, ii) discriminating strong– from weak–damping surfactants and iii) providing a spatial zoning of the damping properties of a given surfactant, the standard deviation of the co–polarized phase difference (CPD) is considered. Experimental results, undertaken over a wide dataset of actual SAR imagery collected at different imaging modes (frequency, incidence angle, noise floor, polarization) under different environmental conditions (sea state, type of Oil), showed that the standard deviation of the CPD is a reliable and robust polarimetric parameter to perform effective sea Oil Slick monitoring.
-
x band two scale sea surface scattering model to predict the contrast due to an Oil Slick
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016Co-Authors: Antonio Montuori, Maurizio Migliaccio, Ferdinando Nunziata, Piotr SobieskiAbstract:In this study, a sea/Oil contrast model, based on the two-scale sea surface scattering Boundary Perturbation Model and an improved Marangoni damping model, is exploited to predict the X-band contrast due to an Oil Slick. Theoretical predictions are then compared with actual X-band synthetic aperture radar (SAR) measurements collected by COSMO-SkyMed and TerraSAR-X satellites over the polluted area off the Aberdeen coast (United Kingdom) during the Gannet Alpha Oil spillage occurred in 2011. The contrast model is here verified at X-band for the first time and exploited in a very challenging scenario, i.e., when an Oil Slick is in place. In addition, a detailed analysis on the effect of sensor's noise equivalent sigma zero (NESZ) on the predicted and measured contrast is undertaken. Experimental results confirm model predictions, witnessing a remarkable agreement between predicted and measured contrasts. Moreover, they demonstrate that NESZ significantly affects the information content of the signal backscattered off the Oil-covered area.
-
polarimetric analysis of compact polarimetry sar architectures for sea Oil Slick observation
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Andrea Buono, Ferdinando Nunziata, Maurizio MigliaccioAbstract:In this paper, a theoretical and experimental analysis of polarimetric synthetic aperture radar (SAR) architectures is undertaken for sea Oil Slick observation purposes. Reference is made to the conventional full-polarimetric (FP) SAR that is here contrasted with new-generation polarimetric SAR architectures, known as compact-polarimetric (CP) SAR. Two CP modes are considered, i.e., the hybrid-polarity and π/4 modes, whose measurements are emulated from actual L- and C-band FP SAR data. Polarimetric sea surface scattering is predicted according to an extended version of the Bragg scattering model (X-Bragg) in order to point out the differences exhibited between FP and CP SAR architectures and among CP SAR modes. Theoretical predictions are then contrasted with experiments undertaken on actual polarimetric SAR data collected over well-known Oil Slicks and weak-damping surfactants. Results confirm model prediction, showing that differences mainly apply when polarimetric features are estimated over Slick-free sea surface using different SAR architectures, with the π/4 mode behaving closer to FP SAR. Although CP SAR architectures measure only a subset of the FP information content, they represent an interesting operational alternative for both detecting Oil Slicks and discriminating them from weak-damping surfactants.
-
IGARSS - A new look at the old sea Oil Slick observation problem: Opportunities and pitfalls of SAR polarimetry
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Co-Authors: Ferdinando Nunziata, Andrea Buono, M MigliaccioAbstract:In this study, polarimetric Synthetic Aperture Radar (pol-SAR) features are derived from full-, dual- and compact-polarimetric SAR measurements and their performance is investigated for sea Oil Slick observation purposes. Experiments undertaken on a RadarSAT-2 SAR scene collected over well-known Oil Slicks show that all the polSAR architectures allow correctly emphasizing Oil Slicks with respect to the surrounding sea. Full-pol and compact-pol SAR architectures allow detecting Oil Slicks without any adaptive thresholding, the latter is needed when dealing with dual-pol (co-co) SAR measurements. As a matter of fact, the key pitfall of pol-SAR, i.e. its limited swath, can be successfully overcame by compact-polarimetric architecture that, with respect to sea Oil Slick observation, exhibits performance similar to full-polarimetric SAR.
-
sar polarimetry for sea Oil Slick observation
Journal of remote sensing, 2015Co-Authors: Maurizio Migliaccio, Ferdinando Nunziata, Andrea BuonoAbstract:In this article, a review of polarimetric synthetic aperture radar SAR methods for sea Oil Slick observation is presented. Marine Oil pollution monitoring is a topic of great applicative and scientific relevance. In this framework, the use of remotely sensed measurements is of special interest and, in particular, the SAR because of its almost all-weather and all-day imaging capability at fine spatial resolution is the most effective tool. Conventional single-polarization SAR Oil spill monitoring techniques are limited in their capability to detect Oil Slicks since they strongly rely on suitable thresholds, training samples, and ancillary information. Hence, an expert image analyst is due. The launch of a number of polarimetric SAR missions, along with the understanding of the peculiar physical mechanisms governing the scattering by an Oil Slick, led to a new paradigm known as physical processing that fostered a set of polarimetric algorithms particularly robust and efficient. Hence, suitable polarimetric models that exploit the departure from the Slick-free sea Bragg scattering have been developed to effectively address Oil Slick monitoring. A set of polarimetric features extracted following such electromagnetic models have been proved to be reliable for Oil Slick monitoring. Polarimetric SAR observations led to a significant improvement in sea Oil Slick observation since they allow distinguishing Oil Slicks from a broad class of lookalikes in an unsupervised way. In addition, deeper information on the damping properties of the pollutant can be also inferred, which is of paramount importance for remediation purposes. Such physical processing has been demonstrated to be robust at variance of microwave carrier frequency, e.g. L-, C-, and X-band, and suitable to be exploited to extract information by dual-polarized, full-polarized, and compact modes. All these make such a physical approach of operational interest since it is able to exploit a larger set of SAR measurements building up a virtual constellation. In this review all these are detailed.
Andrea Buono - One of the best experts on this subject based on the ideXlab platform.
-
SAR Polarimetry for Effective Sea Oil Slick Observation
2018 IEEE OES Baltic International Symposium (BALTIC), 2018Co-Authors: Maurizio Migliaccio, Ferdinando Nunziata, Andrea BuonoAbstract:In the context of sea Oil Slick observation, satellite Synthetic Aperture Radar (SAR) is the most effective remote sensing tool to observe illegal Oil spills, support remediation activities and to monitor offshore critical infrastructures as Oil fields. Nowadays, the availability of a virtual constellation of polarimetric SARs characterized by multi–polarization, multi-frequency and multi-imaging capabilities offers the unique opportunity to exploit an unprecedented amount of information for sea Oil Slick observation purposes. In this study, among the different polarimetric features that allow: i) detecting sea Oil Slicks, ii) discriminating strong– from weak–damping surfactants and iii) providing a spatial zoning of the damping properties of a given surfactant, the standard deviation of the co–polarized phase difference (CPD) is considered. Experimental results, undertaken over a wide dataset of actual SAR imagery collected at different imaging modes (frequency, incidence angle, noise floor, polarization) under different environmental conditions (sea state, type of Oil), showed that the standard deviation of the CPD is a reliable and robust polarimetric parameter to perform effective sea Oil Slick monitoring.
-
polarimetric analysis of compact polarimetry sar architectures for sea Oil Slick observation
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Andrea Buono, Ferdinando Nunziata, Maurizio MigliaccioAbstract:In this paper, a theoretical and experimental analysis of polarimetric synthetic aperture radar (SAR) architectures is undertaken for sea Oil Slick observation purposes. Reference is made to the conventional full-polarimetric (FP) SAR that is here contrasted with new-generation polarimetric SAR architectures, known as compact-polarimetric (CP) SAR. Two CP modes are considered, i.e., the hybrid-polarity and π/4 modes, whose measurements are emulated from actual L- and C-band FP SAR data. Polarimetric sea surface scattering is predicted according to an extended version of the Bragg scattering model (X-Bragg) in order to point out the differences exhibited between FP and CP SAR architectures and among CP SAR modes. Theoretical predictions are then contrasted with experiments undertaken on actual polarimetric SAR data collected over well-known Oil Slicks and weak-damping surfactants. Results confirm model prediction, showing that differences mainly apply when polarimetric features are estimated over Slick-free sea surface using different SAR architectures, with the π/4 mode behaving closer to FP SAR. Although CP SAR architectures measure only a subset of the FP information content, they represent an interesting operational alternative for both detecting Oil Slicks and discriminating them from weak-damping surfactants.
-
IGARSS - A new look at the old sea Oil Slick observation problem: Opportunities and pitfalls of SAR polarimetry
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Co-Authors: Ferdinando Nunziata, Andrea Buono, M MigliaccioAbstract:In this study, polarimetric Synthetic Aperture Radar (pol-SAR) features are derived from full-, dual- and compact-polarimetric SAR measurements and their performance is investigated for sea Oil Slick observation purposes. Experiments undertaken on a RadarSAT-2 SAR scene collected over well-known Oil Slicks show that all the polSAR architectures allow correctly emphasizing Oil Slicks with respect to the surrounding sea. Full-pol and compact-pol SAR architectures allow detecting Oil Slicks without any adaptive thresholding, the latter is needed when dealing with dual-pol (co-co) SAR measurements. As a matter of fact, the key pitfall of pol-SAR, i.e. its limited swath, can be successfully overcame by compact-polarimetric architecture that, with respect to sea Oil Slick observation, exhibits performance similar to full-polarimetric SAR.
-
sar polarimetry for sea Oil Slick observation
Journal of remote sensing, 2015Co-Authors: Maurizio Migliaccio, Ferdinando Nunziata, Andrea BuonoAbstract:In this article, a review of polarimetric synthetic aperture radar SAR methods for sea Oil Slick observation is presented. Marine Oil pollution monitoring is a topic of great applicative and scientific relevance. In this framework, the use of remotely sensed measurements is of special interest and, in particular, the SAR because of its almost all-weather and all-day imaging capability at fine spatial resolution is the most effective tool. Conventional single-polarization SAR Oil spill monitoring techniques are limited in their capability to detect Oil Slicks since they strongly rely on suitable thresholds, training samples, and ancillary information. Hence, an expert image analyst is due. The launch of a number of polarimetric SAR missions, along with the understanding of the peculiar physical mechanisms governing the scattering by an Oil Slick, led to a new paradigm known as physical processing that fostered a set of polarimetric algorithms particularly robust and efficient. Hence, suitable polarimetric models that exploit the departure from the Slick-free sea Bragg scattering have been developed to effectively address Oil Slick monitoring. A set of polarimetric features extracted following such electromagnetic models have been proved to be reliable for Oil Slick monitoring. Polarimetric SAR observations led to a significant improvement in sea Oil Slick observation since they allow distinguishing Oil Slicks from a broad class of lookalikes in an unsupervised way. In addition, deeper information on the damping properties of the pollutant can be also inferred, which is of paramount importance for remediation purposes. Such physical processing has been demonstrated to be robust at variance of microwave carrier frequency, e.g. L-, C-, and X-band, and suitable to be exploited to extract information by dual-polarized, full-polarized, and compact modes. All these make such a physical approach of operational interest since it is able to exploit a larger set of SAR measurements building up a virtual constellation. In this review all these are detailed.
A. Gambardella - One of the best experts on this subject based on the ideXlab platform.
-
On the degree of polarization for SAR sea Oil Slick observation
ISPRS Journal of Photogrammetry and Remote Sensing, 2013Co-Authors: Ferdinando Nunziata, A. Gambardella, Maurizio MigliaccioAbstract:Abstract A polarimetric model to relate the degree of polarization, DoP , to the sea surface scattering with and without Oil Slicks, under low-to-moderate wind conditions, is proposed. DoP , measured directly from the Mueller scattering matrix, is shown to be a reliable measure of the departure from Bragg scattering; a phenomenon that, under low-to-moderate wind conditions, occurs when an Oil Slick is present. Following this theoretical rationale, a simple filter is developed to observe Oil Slicks in quad-polarimetric full-resolution Synthetic Aperture Radar (SAR) data. Experiments, undertaken on a meaningful set of quad-polarization Single Look Complex (SLC) C-band RADARSAT-2 SAR data, where both well-known Oil Slicks and a weak-damping look-alike are in place, demonstrate the soundness of the model and its effectiveness from an operational viewpoint.
-
a unitary mueller based view of polarimetric sar Oil Slick observation
Journal of remote sensing, 2012Co-Authors: Ferdinando Nunziata, A. Gambardella, Maurizio MigliaccioAbstract:Synthetic aperture radar SAR Oil Slick observation is a topic of great applicative relevance which has been physically recast by a set of new polarimetric approaches that exploit the departure from Bragg scattering. In this article, under a unitary Mueller-based view, all the approaches are revisited and reformulated in terms of Mueller matrix elements. This new view is of theoretical and applicative relevance because it allows us to ‘unify’ the output parameters in the same range and, therefore, makes possible a fair ranking of these approaches.
-
Pedestal height for sea Oil Slick observation
IET Radar Sonar & Navigation, 2011Co-Authors: Ferdinando Nunziata, Maurizio Migliaccio, A. GambardellaAbstract:In this study fully polarimetric synthetic aperture radar (SAR) measurements are employed for sea Oil Slick observation. The co-polarised signature is read in terms of sea surface scattering mechanism with and without surface Slicks and it is shown to be sensitive to the presence of sea Oil Slicks. A model, which relates the pedestal of the polarisation signature to the presence of surface Slicks, is developed and successfully tested on L-band ALOS-PALSAR, C-band RADARSAT-2 and C-band SIR-C/X-SAR full-polarimetric SAR data. Experiment results show that polarisation signature, and its pedestal height, can be successfully exploited for both observing sea Oil Slicks and distinguishing them from weak-damping properties look-alikes.
-
SEA Oil Slick OBSERVATION BY MEANS OF FULLY-POLARIMETRIC ALOS PALSAR DATA
2009Co-Authors: A. Gambardella, Maurizio Migliaccio, Ferdinando Nunziata, Masanobu Shimada, Osamu Isoguchi, Napoli ParthenopeAbstract:A study on sea Oil Slick observation by means of Lband polarimetric synthetic aperture radar (SAR) data is accomplished. It is based on the different sea surface scattering mechanism expected with and without surface Slicks. Polarimetric measurements are processed by means of a simple and very effective filtering technique which is electromagnetically based on the Mueller scattering matrix. Moreover, some polarimetric features, evaluated on both the Slick-free and Slick-covered sea surface, are analyzed for confirming the filter output. Experiments are accomplished on polarimetric SAR data acquired by the PALSAR sensor, mounted on board of the ALOS satellite, and are relevant to an Oil Slick, due to a tank accident, and a look-alike. Results demonstrate, for the first time, that L-band polarimetric SAR measurements are useful for Oil Slick observation purposes and witness the capability of ALOS PALSAR data for such application.
-
Fully Polarimetric SAR Data for Oil Slick Observation
2009Co-Authors: Ferdinando Nunziata, A. Gambardella, Maurizio MigliaccioAbstract:In this study a fully polarimetric electromagnetic model for sea surface Mueller matrix is exploited, under low to moderate wind conditions, to design and experiment a Synthetic Aperture Radar (SAR) Oil Slick filter. The latter is simple and computer time effective. Experiments, accomplished over C-band Multi Look Complex (MLC) SIR-C/X-SAR data and L-band Single Look Complex (SLC) ALOS PalSAR data, show the capability of the proposed technique to observe Oil Slicks and distinguish them from Oil look-alikes both at L-and C-band. Moreover, the filter does not need any external threshold to provide a true-false logical output which is very advisable for operational purposes.
Kaihua Zhang - One of the best experts on this subject based on the ideXlab platform.
-
a globally statistical active contour model for segmentation of Oil Slick in sar imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013Co-Authors: Huihui Song, Bo Huang, Kaihua ZhangAbstract:Robust and accurate segmentation of the Oil Slick from SAR imagery is a key step for the detection and monitoring of Oil spills, whose observation is very important for protecting the marine environments. However, intensity inhomogeneity, noise, and weak boundary often exist in the Oil Slick region in SAR imagery, making the accurate segmentation of Oil Slick very challenging. In this paper, we propose a novel statistical active contour model for Oil Slick segmentation. First, we fit the distributions of the inhomogeneous intensity with Gaussian distributions of different means and variances. Then, a moving window is used to map the original image intensity into another domain, where the intensity distributions of inhomogeneous objects are still Gaussian but are better separated. In the transformed domain, the means of the Gaussian distributions can be adaptively estimated by multiplying a smooth function with the signal within the window. Thereafter, for each local region, we define a statistical energy function, which combines the smooth function, the level set function, and the constant approximating the true signal from the corresponding object. In addition, in order to make the final segmentation robust to the initialization of level set function, we present a new energy function which is convex with respect to the level set function, thereby avoiding the local minima. An efficient iterative algorithm is then proposed to minimize the energy function that makes the segmentation robust. Experiments undertaken using some challenging SAR Oil Slick images demonstrate the superiority of our proposed algorithm with respect to the state-of-the-art representative methods.
