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
  • [21] Arctic Sea Ice Characterization Using Spaceborne Fully Polarimetric L-, C-, and X-Band SAR With Validation by Airborne Measurements
    Singha, Suman
    Johansson, Malin
    Hughes, Nicholas
    Hvidegaard, Sine Munk
    Skourup, Henriette
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (07): : 3715 - 3734
  • [22] Texture analysis for oil spill segmentation based on X-band marine radar imagery
    Liu, Peng
    Li, Ying
    Xu, Jin
    Zhu, Xueyuan
    Qi, Haoran
    2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2017, : 6 - 9
  • [23] Effects of a Near-Field Radio Frequency Interference on a Marine Navigational X-band Radar
    Armi-Stoks, Giuseppina Dall'
    Venkataraman, Krishna
    2015 IEEE GLOBAL ELECTROMAGNETIC COMPATIBILITY CONFERENCE (GEMCCON), 2015,
  • [24] Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors
    Niyazi Arslan
    Environmental Monitoring and Assessment, 2018, 190
  • [25] Oil Film Semantic Segmentation Method in X-Band Marine Radar Remote Sensing Images
    Li, Bo
    Xu, Jin
    Chu, Lilin
    Yang, Yuqiang
    Huang, Xili
    Liu, Peng
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
  • [26] Marine Oil Spill Detection with X-Band Shipborne Radar Using GLCM, SVM and FCM
    Li, Bo
    Xu, Jin
    Pan, Xinxiang
    Ma, Long
    Zhao, Zhiqiang
    Chen, Rong
    Liu, Qiao
    Wang, Haixia
    REMOTE SENSING, 2022, 14 (15)
  • [27] Comparison of C- and L-band simulated compact polarized SAR in oil spill detection
    Wang, Xiaochen
    Shao, Yun
    Zhang, Fengli
    Tian, Wei
    FRONTIERS OF EARTH SCIENCE, 2019, 13 (02) : 351 - 360
  • [28] Comparison of C- and L-band simulated compact polarized SAR in oil spill detection
    Xiaochen Wang
    Yun Shao
    Fengli Zhang
    Wei Tian
    Frontiers of Earth Science, 2019, 13 : 351 - 360
  • [29] Recent L-C- and X-band MetaSensing Airborne SAR Campaigns for Emerging Applications
    de Macedo, Karlus A. C.
    Masalias, Gerard
    Coccia, Alex
    Meta, Adriano
    EURAD 2020 THE 17TH EUROPEAN RADAR CONFERENCE, 2021, : 190 - 193
  • [30] Potential of Space-Borne PolInSAR for Forest Canopy Height Estimation Over India-A Case Study Using Fully Polarimetric L-, C-, and X-Band SAR Data
    Khati, Unmesh
    Singh, Gulab
    Kumar, Shashi
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (07) : 2406 - 2416