Comparing Near-Coincident C- and X-Band SAR Acquisitions of Marine Oil Spills

被引:93
|
作者
Skrunes, Stine [1 ]
Brekke, Camilla [1 ]
Eltoft, Torbjorn [1 ]
Kudryavtsev, Vladimir [2 ,3 ,4 ]
机构
[1] Univ Tromso, Arctic Univ Norway, Dept Phys & Technol, N-9037 Tromso, Norway
[2] Russian State Hydrometeorol Univ, Satellite Oceanog Lab, St Petersburg 195196, Russia
[3] Inst Marine Hydrophys, Sevastopol 299011, Russia
[4] Nansen Environm & Remote Sensing Ctr, N-5006 Bergen, Norway
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2015年 / 53卷 / 04期
关键词
Contrast; frequency; log-cumulants; look-alikes; noise analysis; oil spill; polarimetry; scattering mechanisms; statistical analysis; synthetic aperture radar (SAR); SEA; RADAR; POLARIZATION; SLICKS; SCATTERING; MODEL;
D O I
10.1109/TGRS.2014.2351417
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In this paper, we compare satellite-borne C-and X-band synthetic aperture radar (SAR) data for marine oil spill observation. During large-scale oil-on-water exercises in the North Sea, quad-polarization Radarsat-2 (C-band) and dual-polarization TerraSAR-X (X-band) data were acquired with temporal distances of less than 24 min. The objective is to characterize and quantify differences in the Radarsat-2 and TerraSAR-X measurements. Three scene pairs are compared in terms of data quality and signal characteristics, including statistical properties and selected multipolarization (HH, VV) parameters. The signal characteristics are also compared among low-backscatter features of various origin within the individual pairs. No viable argument for selecting one sensor above the other is identified in the data quality study. In the statistical analysis, investigation of log-cumulants indicates a larger deviation from Gaussian statistics in the TerraSAR-X data compared with Radarsat-2 measurements. Log-cumulant diagrams are also shown to be a useful tool for discrimination between oil spills and a simulated biogenic slick in both sensors. Multipolarization features show enhanced slick-sea contrasts and a better discrimination between mineral oil spills and other low-backscatter features in Radarsat-2 compared with TerraSAR-X. The presence of a non-Bragg scattering component in the data is revealed for both sensors. The relative contribution of non-Bragg scattering to the total backscatter is found to be higher in the TerraSAR-X data than in the Radarsat-2 data. In general, the non-Bragg component is found to account for a larger part of the backscatter in slick-covered areas compared with clean sea.
引用
收藏
页码:1958 / 1975
页数:18
相关论文
共 49 条
  • [31] A Statistical Approach to Preprocess and Enhance C-Band SAR Images in Order to Detect Automatically Marine Oil Slicks
    Najoui, Zhour
    Riazanoff, Serge
    Deffontaines, Benoit
    Xavier, Jean-Paul
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (05): : 2554 - 2564
  • [32] Wide-band modified printed bow-tie antenna with single and dual polarization for C- and X-band applications
    Eldek, AA
    Elsherbeni, AZ
    Smith, CE
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2005, 53 (09) : 3067 - 3072
  • [33] Rotational symmetric solar system shaped triple band perfect metamaterial absorber for S-, C-, and X-band application
    Afsar, Md. Salah Uddin
    Faruque, Mohammad Rashed Iqbal
    Abdullah, Sabirin
    Hossain, Mohammad Jakir
    SENSORS AND ACTUATORS A-PHYSICAL, 2024, 365
  • [34] Temporal Decorrelation in L-, C-, and X-band Satellite Radar Interferometry for Pasture on Drained Peat Soils
    Morishita, Yu
    Hanssen, Ramon F.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (02): : 1096 - 1104
  • [35] A Novel C/X-Band Linear Polarized Conformal Shared Aperture Antenna Array for Spaceborne SAR Applications
    Nunna, Bala Ankaiah
    Kothapudi, Venkata Kishore
    IEEE ACCESS, 2023, 11 : 101045 - 101054
  • [36] X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
    Johansson, A. Malin
    Brekke, Camilla
    Spreen, Gunnar
    King, Jennifer A.
    REMOTE SENSING OF ENVIRONMENT, 2018, 204 : 162 - 180
  • [37] OIL SPILL MONITORING ON WATER SURFACES BY RADAR L, C AND X BAND SAR IMAGERY: A COMPARISON OF RELEVANT CHARACTERISTICS
    Marzialetti, P.
    Laneve, G.
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 7715 - 7717
  • [38] Application of C-band sentinel-1A SAR data as proxies for detecting oil spills of Chennai, East Coast of India
    Dasari, Kiran
    Anjaneyulu, Lokam
    Nadimikeri, Jayaraju
    MARINE POLLUTION BULLETIN, 2022, 174
  • [39] A new technique for the retrieval of near-surface vertical current shear from marine X-band radar images
    Lund, B.
    Graber, H. C.
    Tamura, H.
    Collins, C. O., III
    Varlamov, S. M.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2015, 120 (12) : 8466 - 8486
  • [40] Model-based analysis of X-band scattering from oil-covered sea surface using SAR imagery
    Meng, Tingyu
    Nunziata, Ferdinando
    Yang, Xiaofeng
    Migliaccio, Maurizio
    2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR THE SEA LEARNING TO MEASURE SEA HEALTH PARAMETERS (METROSEA), 2022, : 373 - 377