On the Capability of Hybrid-Polarity Features to Observe Metallic Targets at Sea

Paes, Rafael Lemos; Nunziata, Ferdinando; Migliaccio, M.

doi:10.1109/joe.2015.2424751

Cited by 21 publications

(23 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This ensures a swath width significantly larger than the one provided by a fully polarimetric SAR system, with polarimetric performance that tends to the fully polarimetric one. This technological progress boosted the development of new techniques to exploit CP SAR for sea oil slick monitoring purposes (Shirvany, Chabert, and Tourneret 2012;Nunziata, Migliaccio, and Li 2015;Salberg, Rudjord, and Solberg 2014;Paes, Nunziata, and Migliaccio, forthcoming;Nunziata and Migliaccio 2014;Yin et al, forthcoming;Li et al 2015).…”

Section: Introductionmentioning

confidence: 99%

SAR polarimetry for sea oil slick observation

Migliaccio

Nunziata

Buono

2015

International Journal of Remote Sensing

132

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

SAR polarimetry for sea oil slick observation

Migliaccio

Nunziata

Buono

2015

International Journal of Remote Sensing

132

View full text Add to dashboard Cite

show abstract

“…One can note that only analyzing FoM is not possible to distinguish what factors impact over the detector. In general, very good results are obtained even for global thresholding, which usage demonstrates the features robustness, despite more sophisticated detection algorithms can be achieved successfully [8]. Table IV presents the results for the mentioned image, shading light to the features sensibility to the background ocean variation.…”

Section: Numerical Resultsmentioning

confidence: 81%

“…Then, several HP features are evaluated from basic wave-polarimetry concept and related to sea surface scattering with and without metallic targets, see Table I. Then, the sensitivity of those features to metallic targets is investigated for different wind conditions (low and high sea states), different incidence angles and target's characteristics (the configuration of masts over the deck) [8]. On this purpose, two objective norms are introduced, namely Dependency of Sea State (DSS) and the Dependency on the Target Surface Characteristics (DTSC), to rank the polarimetric features according to their capability on discriminating targets from the background [8].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid-polarimetry architecture to observe metallic targets at sea

Paes¹,

Nunziata

Migliaccio

2014

2014 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Proceedings

Self Cite

View full text Add to dashboard Cite

In this study, target at sea detection is addressed using Hybrid Polarity (HP) Synthetic Aperture Radar (SAR) architecture. Wave polarimetry concepts are used to define HP features that are used to observe targets at sea. The sensitivity of HP features to both targets and the surrounding environment is analyzed through some objective norms, namely the Figure-ofMerit (FoM), the sensitivity to the background variability, the dependence on sea state and target's characteristics. Experiments undertaken on HP measurements emulated from Radarsat-2 and ALOS-PALSAR full-polarimetric actual SAR data demonstrate the effectiveness of the proposed HP approach and the different sensitivity of HP features to targets and background sea characteristics. Following those results, a ranking the HP features performance is proposed which mainly highlights that HP features complement each other in the detection process. Finally, a Constant False Alarm Rate (CFAR) approach is proposed to exploit two HP features for target detection in a unsupervised way.

show abstract

“…Finally, the sum of two parameters, median (ME) and base length (BL), results in the RSPolF index. ME parameter is the median of the histogram while BL is given by the length of the set of the values with large occurrence, which allows sorting out the outliers due to metallic targets at most cases [12].…”

Section: Analysis Of the Features Sensitivity To Background Variabilitymentioning

confidence: 99%

On the sensitivity analysis of the Compact-Polarimetry SAR architectures for maritime targets detection

et al. 2014

Self Cite

View full text Add to dashboard Cite

A comparison among three Compact-Polarimetry (CP) Synthetic Aperture Radar (SAR) architectures is followed to analyze some polarimetric features sensitivity with respect to the ocean background variation, which is achieved as situational awareness about the environment influence on detection algorithms performance. Thus, architectures are emulated from Radarsat-2 full-polarimetric actual SAR data, according to wave polarimetry concepts. In this analysis, the entropy of the wave scattered off the observed scene is used as polarimetric feature, considering as reference the conventional target entropy evaluated from full-polarimetric SAR data. Then, actual RISAT-1 Hybrid-Polarity (HP) data are analyzed extracting other polarimetric features to investigate their capabilities to discriminate metallic targets from the ocean background. Relative ocean background sensitivity analysis is addressed using an objective metric named Relative Sensitivity of Polarimetric Features (RSPolF), whose characterizes the polarimetric feature sensitivity for the sea state found in each SAR scene. Additionally, on further works, it can objectively support target detection algorithms for threshold definition.

show abstract

On the Capability of Hybrid-Polarity Features to Observe Metallic Targets at Sea

Cited by 21 publications

References 26 publications

SAR polarimetry for sea oil slick observation

SAR polarimetry for sea oil slick observation

Hybrid-polarimetry architecture to observe metallic targets at sea

On the sensitivity analysis of the Compact-Polarimetry SAR architectures for maritime targets detection

Contact Info

Product

Resources

About