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Journal ArticleDOI

Improved Compact Polarimetric SAR Quad-Pol Reconstruction Algorithm for Oil Spill Detection

TLDR
An improved reconstruction algorithm is proposed for compact polarimetric (CP) synthetic aperture radar (SAR) on oil spill detection that can iteratively reconstruct quad-pol SAR images from CP SAR data.
Abstract
An improved reconstruction algorithm is proposed for compact polarimetric (CP) synthetic aperture radar (SAR) on oil spill detection. Based on the differences in statistical behavior between open and oil-covered sea surfaces, the proposed algorithm can iteratively reconstruct quad-pol SAR images from CP SAR data. During the experiment, it outperformed two existing compact SAR reconstruction algorithms in terms of both statistical and information theoretical analysis.

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Citations
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Journal ArticleDOI

Application of Deep Networks to Oil Spill Detection Using Polarimetric Synthetic Aperture Radar Images

TL;DR: Deep learning algorithms such as the stacked autoencoder (SAE) and deep belief network (DBN) are applied to optimize the polarimetric feature sets and reduce the feature dimension through layer-wise unsupervised pre-training to show that oil spill classification achieved by deep networks outperformed both support vector machine (SVM) and traditional artificial neural networks with similar parameter settings.
Journal ArticleDOI

Compact Polarimetric Synthetic Aperture Radar for Marine Oil Platform and Slick Detection

TL;DR: The proposed method provides a promising technique to detect oil slicks and oil platforms from CP imaging mode SAR data, i.e., as may be acquired by the RISAT-1, ALOS-2, and the future RADARSAT Constellation Mission.
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Detection of the Hebei Spirit oil spill on SAR imagery and its temporal evolution in a coastal region of the Yellow Sea

TL;DR: In this article, the authors investigated the evolution of a disastrous oil spill from a vessel collision, known as the Hebei Spirit accident, off the coast of Korea in the Yellow Sea on 6 December 2007.
Journal ArticleDOI

Model-Based Pseudo-Quad-Pol Reconstruction from Compact Polarimetry and Its Application to Oil-Spill Observation

TL;DR: This study proposes a new method for pseudo-quad-polarization reconstruction from compact polarimetry based on the three-component decomposition by using the decomposed powers, and shows that the proposed model-based method is of great potential for oil-spill observation.
References
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Journal ArticleDOI

Hybrid-Polarity SAR Architecture

TL;DR: Data from a CL-pol SAR yield to decomposition strategies such as the m-delta method introduced in this paper, which is the architecture of choice for two lunar radars scheduled for launch in 2008.
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Compact polarimetry based on symmetry properties of geophysical media: the /spl pi//4 mode

TL;DR: The polarization uniqueness in transmission of this mixed basis mode, hereafter referred to as the /spl pi//4 mode, maintains the standard lower pulse repetition frequency operation and hence maximizes the coverage of the sensor.
Journal ArticleDOI

SAR Polarimetry to Observe Oil Spills

TL;DR: Results show that the new polarimetric approach is able to assist classification, and the target decomposition theorem is exploited to distinguish oil spills and look-alikes.
Journal ArticleDOI

Polarimetric Analysis of Backscatter From the Deepwater Horizon Oil Spill Using L-Band Synthetic Aperture Radar

TL;DR: The results show that synthetic aperture radar can be used to measure the oil volumetric concentration in a thick slick, and the most reliable indicator is the major eigenvalue of the coherency matrix, which is approximately equal to the total backscatter power for both oil in the slick and clean sea water.
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