A Physical Approach for the Observation of Oil Spills in SAR Images

Migliaccio, M.; Tranfaglia, M.; Ермаков, С. А.

doi:10.1109/joe.2005.857518

Cited by 49 publications

(15 citation statements)

References 23 publications

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“…In this case, we show the effect on two scenes, but similar results have been obtained for the other scenes as well. It is already known that increasing the mask size will enhance interpretability [36], but the small oil slicks might hamper detectability. From Fig.…”

Section: B Speckle Filteringmentioning

confidence: 99%

Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR

Espeseth

Skrunes

Jones

et al. 2017

IEEE Trans. Geosci. Remote Sensing

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Abstract-Oil spill detection using a time series of images acquired off Norway in June 2015 with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) is examined. The relative performance of a set of features derived from quadpolarization vs. hybrid-polarity modes in detection of various types of slicks as they evolve on a high wind driven sea surface is evaluated. It is shown that the hybrid-polarity mode is comparable to the full-polarimetric mode in its ability to distinguish the various slicks from open water for challenging conditions of high winds (9-12 m/s), small release volumes (0.2 -0.5m3 ), and during the period 0-9 hours following release. The features that contain the cross-polarization component are better for distinguishing the various slicks from open water at later and more developed stages. Although these features are not available in the hybrid-polarity mode, we identify alternative features to achieve similar results. In addition, a clear correlation between the results of individual features and their dependence on particular components within the two-scale Bragg scattering theory is identified. The features that show poor detectability of the oil slicks are those that are independent of the small-scale roughness, while the features resulting in good separability were dependent on several factors in the two-scale Bragg scattering model. We conclude that the hybrid-polarity mode is a viable alternative for SAR-based oil spill detection and monitoring that provides comparable results to those from quad-polarimetric SAR.

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Section: B Speckle Filteringmentioning

confidence: 99%

Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR

Espeseth

Skrunes

Jones

et al. 2017

IEEE Trans. Geosci. Remote Sensing

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“…The oil film layers being thin and by assuming identical surfaces, this approach considers that the two rough interfaces form a local Fabry-Pérot interferometer, owing to the fact that the oil film strongly damps the so-called capillary waves of the surface. Second, a classical approach, which is widely used in radar remote sensing [4], is also tested. The oil film layers being in general significantly less than the EM wavelength (particularly for illegal oil spill discharges), it is assumed that the wave is not sensitive to the oil layer.…”

Section: D Radar Backscattering From Clean and Contaminated Seasmentioning

confidence: 99%

“…Then, only few recent work like [3,4,5,6,7] deals with quantitative electromagnetic (EM) modeling of sea oil spills. Contrary to other papers dealing with water-in-oil emulsions [3] which occur for moderate-to-high wind conditions, this paper focuses on homogeneous insoluble oil films on sea surfaces.…”

Section: Introductionmentioning

confidence: 99%

Radar backscattering modeling of oil slicks at Sea based on the model of local balance

Pinel¹,

Bourlier

Sergievskaya

2014

2014 IEEE Geoscience and Remote Sensing Symposium

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This paper aims at presenting a refined electromagnetic modeling based on a physical hydrodynamic model of surface damping by the presence of oil films, the model of local balance (MLB). It focuses on the case of one-dimensional (1D) surfaces, corresponding to two-dimensional problems, for a more thorough study which makes it possible to use a numerical reference method (PILE method), based on the Method of Moments. In this context, for an effective modeling of the complex double-layer problem (air/oil and oil/sea surfaces), two simplifying asymptotic approaches are presented and tested: the so-called "thin-layer" and "classical" approaches, which make it possible to treat this problem as a much more simple single-layer problem, just like the clean sea surface case. Then, the validity of the two approaches is studied by comparison with the PILE method. The main conclusion of this study is that, for the typical thicknesses studied here, the "thin-layer" approach is the most reliable for near-nadir incidence configurations and can then be used for altimeter applications, whereas the "classical" approach is the most reliable for moderate incidence angles and can be successfully used for satellite applications.

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“…Therefore, oil spill region will from dark area in SAR image, by identifying the dark areas in SAR image can detect oil spill. However, there are other natural phenomena which cause dark areas in SAR images (Migliaccio et al, 2005), including natural biological slicks, low-wind areas, rain clouds, etc. These called look-alikes phenomena also form the dark spot area in the SAR image like oil slicks, which increase the difficulty of SAR oil spill detection , Migliaccio et al, 2012.…”

Section: Introductionmentioning

confidence: 99%

Sea Oil Spill Detection Using Self-Similarity Parameter of Polarimetric Sar Data

Tong

Chen

Liu

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The ocean oil spills cause serious damage to the marine ecosystem. Polarimetric Synthetic Aperture Radar (SAR) is an important mean for oil spill detections on sea surface. The major challenge is how to distinguish oil slicks from look-alikes effectively. In this paper, a new parameter called self-similarity parameter, which is sensitive to the scattering mechanism of oil slicks, is introduced to identify oil slicks and reduce false alarm caused by look-alikes. Self-similarity parameter is small in oil slicks region and it is large in sea region or look-alikes region. So, this parameter can be used to detect oil slicks from look-alikes and water. In addition, evaluations and comparisons were conducted with one Radarsat-2 image and two SIR-C images. The experimental results demonstrate the effectiveness of the self-similarity parameter for oil spill detection.

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A Physical Approach for the Observation of Oil Spills in SAR Images

Cited by 49 publications

References 23 publications

Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR

Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR

Radar backscattering modeling of oil slicks at Sea based on the model of local balance

Sea Oil Spill Detection Using Self-Similarity Parameter of Polarimetric Sar Data

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