An Investigation on the Damping Ratio of Marine Oil Slicks in Synthetic Aperture Radar Imagery

被引:2
|
作者
Quigley, Cornelius [1 ]
Johansson, A. Malin [1 ]
Jones, Cathleen E. E. [2 ]
机构
[1] UiT The Arctic Univ Norway, Dept Phys & Technol, NO-9037 Tromso, Norway
[2] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA
基金
美国国家航空航天局;
关键词
Damping ratio (DR); oil slick; oil spill response; optical; synthetic aperture radar (SAR); SURFACE-FILMS; WAVES; BACKSCATTER; MODEL; BAND; MULTIFREQUENCY; SIMULATION; SCATTERING; SIGNATURES;
D O I
10.1109/JSTARS.2023.3285145
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The damping ratio has recently been used to indicate the relative internal oil thickness within oil slicks observed in synthetic aperture radar (SAR) imagery. However, there exists no well-defined and evaluated methodology for calculating the damping ratio. In this study, we review prior work regarding the damping ratio and outline its theoretical and practical aspects. We show that the most often used methodology yields damping ratio values that differ, in some cases significantly, for the same scene. Three alternative methods are tested on multifrequency datasets of verified oil slicks acquired from DLR's F-SAR instrument, NASA's unmanned aerial vehicle synthetic aperture radar, and Sentinel-1. All methods yielded similar results regarding relative thickness variations within slick. The proposed damping ratio derivation methods were found to be sensitive to the proportion of oil covered pixels versus open water pixels in the azimuth direction, as well as to the scene size in question. We show that the fully automatable histogram method provides the most consistent results even under challenging conditions. Comparisons between optical imagery and derived damping ratio values using F-SAR data show good agreement between the relatively thicker oil slick areas for the two different types of sensors.
引用
收藏
页码:5488 / 5501
页数:14
相关论文
共 50 条
  • [41] LINE ENHANCEMENT ALGORITHM FOR SYNTHETIC APERTURE RADAR IMAGERY
    GEAGA, JV
    DAVIS, KS
    MILLIMETER WAVE AND SYNTHETIC APERTURE RADAR, 1989, 1101 : 148 - 157
  • [42] Nonlinear Internal Waves in Synthetic Aperture Radar Imagery
    Jackson, Christopher R.
    da Silva, Jose C. B.
    Jeans, Gus
    Alpers, Werner
    Caruso, Michael J.
    OCEANOGRAPHY, 2013, 26 (02) : 68 - 79
  • [43] Modelling and enhancement of interrupted synthetic aperture radar imagery
    Tough, R. J. A.
    Ward, K. D.
    Shepherd, P. W.
    IET RADAR SONAR AND NAVIGATION, 2007, 1 (06): : 407 - 413
  • [44] PROCESSING FOR SPACEBORNE SYNTHETIC APERTURE RADAR IMAGERY.
    Lybanon, M.
    NASA Contractor Reports, 1973,
  • [45] SEPARATION AND CHARACTERISATION OF MINERAL OIL SLICKS AND NEWLY FORMED SEA ICE IN L-BAND SYNTHETIC APERTURE RADAR
    Johansson, A. Malin
    Espeseth, Martine M.
    Brekke, Camilla
    Skrunes, Stine
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 3253 - 3256
  • [46] Characterization and discrimination of evolving mineral and plant oil slicks based on L-band synthetic aperture radar (SAR)
    Jones, Cathleen E.
    Espeseth, Martine M.
    Holt, Benjamin
    Brekke, Camilla
    Skrunes, Stine
    SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XVI, 2016, 10003
  • [47] Signature Analysis in Synthetic Aperture Radar Imagery with a Radar Target Simulator
    Amarandi-Netedu, Lidia-Marta
    Merz, Marcel
    Progin, Olivier
    Nagy, Laurent
    Caris, Michael
    Wellig, Peter
    Henke, Daniel
    Dominguez, Elias Mendez
    TARGET AND BACKGROUND SIGNATURES IX, 2023, 12736
  • [48] Marine oil spill detection using Synthetic Aperture Radar over Indian Ocean
    Naz, Saima
    Iqbal, Muhammad Farooq
    Mahmood, Irfan
    Allam, Mona
    MARINE POLLUTION BULLETIN, 2021, 162
  • [49] Monitoring and identification of marine oil spills using advanced synthetic aperture radar images
    Mihoub, Zakarya
    Hassini, Abdelatif
    OPTICA APPLICATA, 2014, 44 (03) : 433 - 449
  • [50] FUSION OF SYNTHETIC APERTURE RADAR AND HYPERSPECTRAL IMAGERY TO DETECT IMPACTS OF OIL SPILL IN GULF OF MEXICO
    Dabbiru, Lalitha
    Samiappan, Sathishkumar
    Nobrega, Rodrigo A. A.
    Aanstoos, James A.
    Younan, Nicolas H.
    Moorhead, Robert J., II
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1901 - 1904