A physical approach for the observation of oil spills in SAR images

被引:37
|
作者
Migliaccio, M [1 ]
Tranfaglia, M
Ermakov, SA
机构
[1] Univ Studi Napoli Parthenope, Dipartimento Tecnol, I-80133 Naples, Italy
[2] Russian Acad Sci, Inst Appl Phys, Nizhnii Novgorod 603600, Russia
关键词
backscattering model; edge detector; oil spills; SAR; scatterometer;
D O I
10.1109/JOE.2005.857518
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper, a physical approach to support oil spills observation over synthetic aperture radar (SAR) images is presented. Electromagnetic model is based on an enhanced damping model that takes into account oil viscoelastic properties and wind speed. As a matter of fact, a multisensor approach is considered and a constant false alarm rate, (CFAR) filter is used to minimize speckle effect.. A set of experiments is presented and discussed, They show that oil spill processing is effective over single-look SAR images using mean input data.
引用
收藏
页码:496 / 507
页数:12
相关论文
共 50 条
  • [31] VALIDATION OF AN AUTOMATIC SYSTEM TO DETECT OIL SPILLS IN X- AND L-BAND SAR IMAGES
    Trivero, P.
    Biamino, W.
    Cavagnero, M.
    Di Matteo, L.
    Loreggia, D.
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 565 - 568
  • [32] Detection of oil spills in a complex scene of SAR imagery
    Feng Jing
    Chen He
    Bi FuKun
    Li JunXia
    Wei Hang
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2014, 57 (11) : 2204 - 2209
  • [33] Combined use of SAR images and numerical simulations to identify the source and trajectories of oil spills in coastal environments
    Cervantes-Hernández, Pedro
    Celis-Hernández, Omar
    Ahumada-Sempoal, Miguel A.
    Reyes-Hernández, Cristóbal A.
    Gómez-Ponce, M. Alejandro
    Marine Pollution Bulletin, 2024, 199
  • [34] Automatic identification of oil spills on satellite images
    Keramitsoglou, Iphigenia
    Cartalis, Constantinos
    Kiranoudis, Chris T.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2006, 21 (05) : 640 - 652
  • [35] An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery With Sea Ice and Oil Spills
    Xu, Linlin
    Wong, Alexander
    Clausi, David A.
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 14 (02) : 188 - 192
  • [36] A sustainable approach to controlling oil spills
    Al-Majed, Abdul Aziz
    Adebayo, Abdulrauf Rasheed
    Hossain, M. Enamul
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2012, 113 : 213 - 227
  • [37] A green approach to cleaning oil spills
    Canter, Neil
    TRIBOLOGY & LUBRICATION TECHNOLOGY, 2010, 66 (12) : 14 - 15
  • [38] Estimating Oil-Water Mixing Ratios of Marine Oil Spills From L-Band Fully Polarimetric SAR Images
    Gou, Chunyu
    Zheng, Honglei
    Zhang, Jie
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
  • [39] Oil spills identification in SAR image using Mahalanobis distance
    Chen Peng
    Zhou Hui
    Wang Xiaotian
    INTELLIGENT SYSTEM AND APPLIED MATERIAL, PTS 1 AND 2, 2012, 466-467 : 246 - +
  • [40] Monitoring of marine oil spills from SAR satellite data
    Vogt, P
    Tarchi, D
    REMOTE SENSING OF THE OCEAN AND SEA ICE 2004, 2004, 5569 : 209 - 219