RADARSAT SAR for oil spill response

被引:0
|
作者
Hodgins, DO [1 ]
Salvador, SS [1 ]
Tinis, SE [1 ]
Nazarenko, D [1 ]
机构
[1] Seaconsult Marine Res Ltd, Vancouver, BC, Canada
关键词
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
RADARSAT synthetic aperture radar imagery has been successfully classified to delineate oil slicks on water using training areas for various degrees of oil coverage located within each image. Three and four class schemes have been tested with imagery from the Nakhodka and Milford Haven spills. An interactive graphical editor has been developed for SPILLSIM using the classified images to reinitialize the SPLLLSIM oil spill model during a simulation.
引用
收藏
页码:1031 / 1041
页数:3
相关论文
共 50 条
  • [31] Spill Response Evaluation Using an Oil Spill Model
    Hospital, Aurelien
    Stronach, James A.
    McCarthy, M. W.
    Johncox, Mark
    [J]. Maritime Oil Spill Response, 2015, 3 : 2 - 14
  • [32] Oil Spill Detection from Polarimetric SAR Image
    Wang Wenguang
    Lu Fei
    Wu Peng
    Wang Jun
    [J]. 2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 832 - 835
  • [33] Oil spill detection using marine SAR images
    Fiscella, B
    Giancaspro, A
    Nirchio, F
    Pavese, P
    Trivero, P
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (18) : 3561 - 3566
  • [34] Automatic detection of oil spills in ENVISAT, RADARSAT and ERS SAR images
    Solberg, AHS
    Dokken, ST
    Solberg, R
    [J]. IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2747 - 2749
  • [35] On the interpretation of SAR imagery from the Sea Empress oil spill
    Jones, B
    Mitchelson-Jacob, EG
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (04) : 789 - 795
  • [36] Research of Oil Spill Response Technology
    Wu, Tong
    Zheng, Hongbo
    Zhang, Shushen
    Ma, Shuming
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND COMPUTING TECHNOLOGY, 2015, 30 : 1734 - 1737
  • [37] Analysis of impacting factors on polarimetric SAR oil spill detection
    SONG Shasha
    ZHAO Chaofang
    AN Wei
    LI Xiaofeng
    WANG Chen
    [J]. Acta Oceanologica Sinica, 2018, 37 (11) : 77 - 87
  • [38] Oil Spill Monitoring based on SAR Remote Sensing Imagery
    Fan, Jianchao
    Zhang, Fengshou
    Zhao, Dongzhi
    Wang, Jun
    [J]. MARITIME OIL SPILL RESPONSE, 2015, 3 : 112 - 118
  • [39] Combining features to improve oil spill classification in SAR images
    Lopes, Darby F. de A.
    Ramalho, Geraldo L. B.
    de Medeiros, Fatima N. S.
    Costa, Rodrigo C. S.
    Araujo, Regia T. S.
    [J]. STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, PROCEEDINGS, 2006, 4109 : 928 - 936
  • [40] Using boosting to improve oil spill detection in SAR images
    Ramalho, Geraldo L. B.
    Medeiros, Fatima N. S.
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2006, : 1066 - +