On the Reconstruction of Quad-Pol SAR Data From Compact Polarimetry Data For Ocean Target Detection

Collins, Michael; Denbina, Michael; Atteia, Ghada

doi:10.1109/tgrs.2012.2199760

Cited by 70 publications

(59 citation statements)

References 19 publications

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“…Many of the results are 1.0, meaning that the detector failed to detect a single pixel in the iceberg mask. We found that the accuracy of the reconstruction was strongly dependent on incidence angle and that the uncertainties in the reconstructed HV values were very high (Collins et al, 2012), thus the poor performance at this steep angle is not entirely surprising.…”

Section: Resultsmentioning

confidence: 79%

“…The algorithms we used are described in detail in a companion paper (Collins et al, 2012). Here we briefly summarize the process.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, we must make some assumptions to constrain the solution space and reduce the number of unknowns and/or increase the number of equations. The original CP reconstruction algorithm (Souyris et al, 2005) starts with the assumption of reflection symmetry, which we have demonstrated is valid for ocean backscatter at C-band (Collins et al, 2012). Under this assumption, there is complete decorrelation of the co-polarized and the crosspolarized backscattering coefficients,…”

Section: Introductionmentioning

confidence: 99%

“…Equations (9) and (10) are iteratively solved to estimate |S HV | 2 and the linear coherence (ρ) (see Collins et al, (2012) for details). The intensities of the other pseudo-co-pol components (S HH , S VV ) and their relative phase (S HH · S * VV ) are estimated directly from the covariance matrix elements of the CP mode and the estimated |S HV | 2 value as follows, Thus, the covariance matrix of the pseudo-quad-pol data derived from the CTLR CP mode can be written as,…”

Section: Introductionmentioning

confidence: 99%

“…It is well known that backscatter from the ocean is well modelled by single bounce scattering, so neither the original reconstruction algorithm proposed by Souyris et al (2005), which assumes volume scattering, nor the modified algorithm proposed by Nord et al (2009), which compensates for the double bounce scattering, are consistent with C-band microwave backscattering from the ocean. We have developed an empirical model for N that retains the basic logic behind the original Souyris algorithm, but estimates N directly from the data (Collins et al, 2012). We found that there is a strong and robust relationship between the mean N ( N) for ocean RADARSAT-2 FQ scenes and the incidence angle of the scene.…”

Section: Introductionmentioning

confidence: 99%

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Iceberg Detection Using Compact Polarimetric Synthetic Aperture Radar

Denbina

2012

Atmosphere-Ocean

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In recent years, the use of synthetic aperture radar (SAR) for iceberg detection has been increasing thanks to the greater availability and coverage of SAR data, particularly polarimetric data. Greater amounts of polarimetric information can increase detection performance, preventing false alarms and missed detections. However, quad-polarization (quad-pol) SAR systems have increased data rate and power usage requirements, causing quad-pol modes to have generally half the swath width of dual-polarization (dual-pol) modes. Compact polarimetry is a compromise that allows the approximation of quad-pol information (referred to as "pseudo quad-pol") using a dual-pol SAR. In this paper, using compact polarimetric data simulated from RADARSAT-2 quad-pol imagery, we show how pseudo-quad-pol data can be used for iceberg detection using the likelihood ratio test method. We show that use of the pseudo-quad-pol HV intensity can augment the detection performance of a compact polarimetric SAR system. We also compare the performance of the various compact polarimetric configurations to linearly polarized dual-pol and quad-pol data.RÉSUMÉ [Traduit par la rédaction] Ces dernières années, le radar à synthèse d'ouverture (RSO) a été de plus en plus utilisé pour la détection des icebergs grâce à une meilleure disponibilité et une meilleure couverture des données RSO, en particulier des données polarimétriques. De plus grandes quantités d'informations polarimé-tiques peuvent améliorer la performance de détection, ce qui évite les fausses alarmes et les détections manquées. Cependant, les systèmes RSO à quadruple polarisation (quad-pol) exigent des débits binaires et une consommation d'énergie plus élevés, de telle sorte que les modes quad-pol utilisent généralement une largeur de couloir la moitié moindre que celle des modes à double polarisation (dual-pol). La polarimétrie compacte est un compromis qui permet d'approximer l'information quad-pol (alors appelée « pseudo-quad-pol ») au moyen d'un RSO dual-pol. Dans cet article, en utilisant des données de polarimétrie compacte simulées à partir de l'imagerie RADAR-SAT-2 quad-pol, nous montrons comment les données pseudo-quad-pol peuvent servir à la détection des icebergs au moyen de la méthode du test du rapport des vraisemblances. Nous montrons que l'utilisation de l'intensité HV pseudo-quad-pol peut augmenter la performance de détection d'un système RSO polarimétrique compact. Nous comparons aussi la performance des diverses configurations polarimétriques compactes aux données dual-pol et quad-pol linéairement polarisées.

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Section: Resultsmentioning

confidence: 79%

“…The algorithms we used are described in detail in a companion paper (Collins et al, 2012). Here we briefly summarize the process.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Iceberg Detection Using Compact Polarimetric Synthetic Aperture Radar

Denbina

2012

Atmosphere-Ocean

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Estimation of Melt Pond Fractions on First Year Sea Ice Using Compact Polarization SAR

Perrie

et al. 2017

JGR Oceans

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Melt ponds are a common feature on Arctic sea ice. They are linked to the sea ice surface albedo and transmittance of energy to the ocean from the atmosphere and thus constitute an important process to parameterize in Arctic climate models and simulations. This paper presents a first attempt to retrieve the melt pond fraction from hybrid‐polarized compact polarization (CP) SAR imagery, which has wider swath and shorter revisit time than the quad‐polarization systems, e.g., from RADARSAT‐2 (RS‐2). The co‐polarization (co‐pol) ratio has been verified to provide estimates of melt pond fractions. However, it is a challenge to link CP parameters and the co‐pol ratio. The theoretical possibility is presented, for making this linkage with the CP parameter C22/C11 (the ratio between the elements of the coherence matrix of CP SAR) for melt pond detection and monitoring with the tilted‐Bragg scattering model for the ocean surface. The empirical transformed formulation, denoted as the “compact polarization and quad‐pol” (“CPQP”) model, is proposed, based on 2062 RS‐2 quad‐pol SAR images, collocated with in situ measurements. We compared the retrieved melt pond fraction with CP parameters simulated from quad‐pol SAR data with results retrieved from the co‐pol ratio from quad‐pol SAR observations acquired during the Arctic‐Ice (Arctic‐Ice Covered Ecosystem in a Rapidly Changing Environment) field project. The results are shown to be comparable for observed melt pond measurements in spatial and temporal distributions. Thus, the utility of CP mode SAR for melt pond fraction estimation on first year level ice is presented.

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