Research on polarization of oil spill and detection

Cai, Yang; Zou, Yarong; Liang, Chao; Zou, Bin

doi:10.1007/s13131-015-0817-x

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…In recent years, extensive application and expansion of polarization data has significantly improved the employment of traditional parameters. Combined polarimetric features can be considered the characteristics of different constituent parameters and enhance separability between different targets through mathematical transformations; this has been effectively applied in oil spill detection [26,27]. Schuler constructed the H_A combination polarimetric feature based on the H and A parameters, conducted oil spill detection analysis, and explored the features that could lead to an increase in the probability of oil spill detection according to several mathematical combinations of parameters, including HA, H(1 − A), A(1 − H), and (1 − H)(1 − A) [18].…”

Section: Construction Frame Of Combined Polarimetric Featuresmentioning

confidence: 99%

“…Schuler constructed the H_A combination polarimetric feature based on the H and A parameters, conducted oil spill detection analysis, and explored the features that could lead to an increase in the probability of oil spill detection according to several mathematical combinations of parameters, including HA, H(1 − A), A(1 − H), and (1 − H)(1 − A) [18]. Cai compared and analyzed the scattering properties of oil spills based on combination feature spectra composed of entropy H and anisotropic A [26]. Zou further used the combination of H and A to detect oil spills, verifying the effectiveness of this combination of polarimetric features [27].…”

Section: Construction Frame Of Combined Polarimetric Featuresmentioning

confidence: 99%

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Marine Oil Slick Detection Using Improved Polarimetric Feature Parameters Based on Polarimetric Synthetic Aperture Radar Data

Hou

et al. 2021

Remote Sensing

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Marine oil spill detection is vital for strengthening the emergency commands of oil spill accidents and repairing the marine environment after a disaster. Polarimetric Synthetic Aperture Radar (Pol-SAR) can obtain abundant information of the targets by measuring their complex scattering matrices, which is conducive to analyze and interpret the scattering mechanism of oil slicks, look-alikes, and seawater and realize the extraction and detection of oil slicks. The polarimetric features of quad-pol SAR have now been extended to oil spill detection. Inspired by this advancement, we proposed a set of improved polarimetric feature combination based on polarimetric scattering entropy H and the improved anisotropy A12–H_A12. The objective of this study was to improve the distinguishability between oil slicks, look-alikes, and background seawater. First, the oil spill detection capability of the H_A12 combination was observed to be superior than that obtained using the traditional H_A combination; therefore, it can be adopted as an alternate oil spill detection strategy to the latter. Second, H(1 − A12) combination can enhance the scattering randomness of the oil spill target, which outperformed the remaining types of polarimetric feature parameters in different oil spill scenarios, including in respect to the relative thickness information of oil slicks, oil slicks and look-alikes, and different types of oil slicks. The evaluations and comparisons showed that the proposed polarimetric features can indicate the oil slick information and effectively suppress the sea clutter and look-alike information.

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Section: Construction Frame Of Combined Polarimetric Featuresmentioning

confidence: 99%

Section: Construction Frame Of Combined Polarimetric Featuresmentioning

confidence: 99%

Marine Oil Slick Detection Using Improved Polarimetric Feature Parameters Based on Polarimetric Synthetic Aperture Radar Data

Hou

et al. 2021

Remote Sensing

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“…Furthermore, it has been reported that UV-induced fluorescence of oils in seawater involves a multidimensional complicated process based on the electronic energy level for the transition of the specific structure of organic matter [46]. e combination of complex composition and multiplicity along with energy transfer and intermolecular interactions can also lead to a very complex pattern of energy levels [47]. In addition, the energy transfer between fluorene and other fluorescing AHs can be explained by the occurrence of an external heavy atom effect in oil samples containing high amounts of heavy petroleum hydrocarbons [16,48], indicating that AHs affect the fluorescence spectra of oils by quenching signals and generating other peaks.…”

Section: Contribution Of Individual Ahsmentioning

confidence: 99%

Species Identification and Effects of Aromatic Hydrocarbons on the Fluorescence Spectra of Different Oil Samples in Seawater

Hou

et al. 2021

Journal of Spectroscopy

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The identification of oil species and their characteristics in oil spills is particularly important for their efficient disposal. Since aromatic hydrocarbons (AHs) with various characteristics are the major fluorescent components of oils in seawater, they can be used to detect different oil species in seawater. Here, we developed a composition method using the fluorescence spectra of eight AH categories analyzed by gas chromatography-mass spectrometry (GC-MS) to evaluate the contribution of AHs to the total fluorescence of six different oil species. Qualitative and quantitative difference analysis of the experimental and composite fluorescence spectra was performed based on the redshift of the main peak position, the fluorescence intensity distance, and the generalized included angle cosine, while correlation analysis was used to establish the relationship between the different fluorescence spectral parameters and the American Petroleum Institute gravity and viscosity of the oil species. The fluorescence spectra recorded for heavy oil samples indicated a reduction in the fluorescence signal of fluorene series and an increase in the contribution of acenaphthene and pyrene series, indicating that the currently developed composition method by fluorescence spectroscopy combined with GC-MS can be used to distinguish and identify oil species in seawater samples.

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“…Moreover, ocean oil spill pollution often affects a large area, is long lasting, and causes great damage to marine wildlife. The surveillance and monitoring of oil spills have thus attracted considerable attention from marine management departments in many countries (Cai et al, 2016;Zou et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Experimental study of C-band microwave scattering characteristics during the emulsification process of oil spills

et al. 2020

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In this study, oil spill experiments were performed in a water tank to determine changes in the surface scattering characteristics during the emulsification of oil spills. A C-band fully-polarimetric microwave scatterometer and a vector network analyzer were used to observe films of the following oils: crude oil with an asphalt content below 3% that is prone to emulsification (type A), fresh crude oil extracted from an oilfield (type B), and industrial crude oil that was dehydrated and purified (type C). The difference in the backscatter results between the emulsified oil film and the calm water surface under C-band microwaves and the influence of the emulsification of the oil film on the backscatter were analyzed in detail. The results demonstrate that under a low-wind and no-waves condition (the maximum wave height was below than 3 mm), the emulsification of crude oil could modulated the backscatter through changes in the surface roughness and the dielectric constant, where the surface roughness had the dominant effect. The surface backscatters of the type B oil were greater than that of the type C oil in both the emulsified and non-emulsified states. In the non-emulsified state, the average differences in the backscatter between the type B and C oils were 2.19 dB, 2.63 dB, and 2.21 dB for the polarization modes of VV, HH, and HV/VH, respectively. Smaller corresponding average differences of 0.98 dB, 1.49 dB, and 1.5 dB were found for the emulsified state with a 20% moisture constant for the oil film. The results demonstrated that the surface roughness of the different oil films could vary due to the differences in the oil compositions and the oil film properties, which in turn affect the backscatter of the oil film surface.

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Research on polarization of oil spill and detection

Cited by 10 publications

References 7 publications

Marine Oil Slick Detection Using Improved Polarimetric Feature Parameters Based on Polarimetric Synthetic Aperture Radar Data

Marine Oil Slick Detection Using Improved Polarimetric Feature Parameters Based on Polarimetric Synthetic Aperture Radar Data

Species Identification and Effects of Aromatic Hydrocarbons on the Fluorescence Spectra of Different Oil Samples in Seawater

Experimental study of C-band microwave scattering characteristics during the emulsification process of oil spills

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