Assessment and Enhancement of SAR Noncoherent Change Detection of Sea-Surface Oil Spills

  title={Assessment and Enhancement of SAR Noncoherent Change Detection of Sea-Surface Oil Spills},
  author={Cihan Bayındır and J. David Frost and Christopher F. Barnes},
  journal={IEEE Journal of Oceanic Engineering},
Oil spills are one of the most dangerous catastrophes that threaten the oceans. Therefore, detecting and monitoring oil spills by means of remote sensing techniques that provide large-scale assessments is of critical importance to predict, prevent, and clean oil contamination. In this study, the detection of an oil spill using synthetic aperture radar (SAR) imagery is considered. Detection of the oil spill is performed using change detection algorithms between imagery acquired at different… 
Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review
ABSTRACT Oil spills are one of the most hazardous disasters with significant short- and long-term effects on fragile marine ecosystems. Synthetic Aperture Radar (SAR) has been considered an effective
Reflection-coefficient experimental extraction from S21- parameter for radar oil-spill detection application
Oil spill in sea water is one of the main accidents that affect significantly the maritime environment over a long period of time. Knowing the severe influence of oil spills on the ecosystem, it is
Bayesian Statistics of Wide-Band Radar Reflections for Oil Spill Detection on Rough Ocean Surface
In this paper, we present a probabilistic approach which uses nadir-looking wide-band radar to detect oil spills on rough ocean surface. The proposed approach combines a single-layer scattering model
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Generalized Multiple‐Try Reversible Jump (GMTRJ) is a recent algorithm which makes it possible to improve the accurate tuning of the jump proposals in the Reversible Jump Markov Chain Monte Carlo
A SAR change detection method based on the consistency of single-pixel difference and neighbourhood difference
A synthetic aperture radar (SAR) change detection method based on the consistency of single-pixel difference and neighbourhood difference that can enhance the degree of difference between the changed class and unchanged class while having better anti-noise ability is presented.
Parameter Estimation for Interrupted Sampling Repeater Jamming Based on ADMM
A computationally-effective method to estimating the parameters for ISRJ by resorting to the framework of alternating direction method of multipliers (ADMM), which exhibits much better performance in accuracy and stability than the traditional time-frequency (TF) method.
Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms
In recent years, with the development of wind energy, the number and scale of wind farms have been developing rapidly. Since offshore wind farms have the advantages of stable wind speed, being clean,


Change detection techniques for ERS-1 SAR data
  • E. Rignot, J. V. Zyl
  • Environmental Science, Mathematics
    IEEE Trans. Geosci. Remote. Sens.
  • 1993
Several techniques for detecting temporal changes in satellite synthetic-aperture radar (SAR) imagery are compared, using both theoretical predictions and spaceborne SAR data collected by the first
A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters
A number of data types and image processing techniques used to map and monitor earthquakes, faulting, volcanic activity, landslides, flooding, and wildfire, and the damages associated with each are addressed.
SAR data collection and processing requirements for high quality coherent change detection
  • A. Doerry
  • Physics
    SPIE Defense + Commercial Sensing
  • 2008
Coherent Change Detection (CCD) is a technique for observing very subtle changes between two Synthetic Aperture Radar (SAR) images. It is an Interferometric processing technique that measures the
Coherence estimation for SAR imagery
The accuracy of coherence estimation is investigated as a function of the coherence map resolution and it is established that the magnitude of the averaged sample coherence estimate is slightly biased for high-resolution coherence maps and that the bias reduces with coarser resolution.
A statistical and geometrical edge detector for SAR images
The decision threshold can be theoretically determined for a given probability of false alarm as a function of the number of looks of the image under study and the size of the processing neighborhood.
The Effects of Surface Gravity Waves on High-Frequency Acoustic Propagation in Shallow Water
A realistic 2-D time-evolving ocean surface model has been combined with an existing acoustic ray-based model to simulate the effects of sea surface roughness on acoustic wave propagation in coastal
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This paper introduces the overview of mission requirements, sensors, and a satellite system of the Advanced Land Observing Satellite (ALOS). Mission objective of the ALOS is to advance landobserving
Impact of surface gravity waves on high-frequency acoustic propagation in shallow water.
Sea surface roughness is one of several factors that significantly influences high‐frequency (1–50‐kHz) acoustic wave propagation in shallow water. The evolving sea surface introduces several
In order to maintain average power levels as well as high range resolution, phasecoded signals are used in radar and sonar signal processing. One of the most commonly used phase-coded signals is the
Synthetic Aperture Radar Signal Processing with MATLAB Algorithms
Range Imaging Cross-Range Imaging SAR Radiation Pattern Generic Synthetic Aperture Radar Spotlight Synthetic Aperture Radar Stripmap Synthetic Aperture Radar Circular Synthetic Aperture Radar