Integral solution for oil spill detection using SAR data

被引:2
|
作者
Gershenzon, Olga Nickolaevna [1 ]
机构
[1] R&D Ctr ScanEx, Moscow 119021, Russia
关键词
fast oil spill detection; oil slicks; remote sensing; radar; monitoring;
D O I
10.1109/RAST.2007.4284013
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Oil spill detection on sea surface is a very difficult and actual task. Oil and oil products spills may occur at any stage of the offshore oil production and transportation cycle. Therefore taking into account the current trends of oil production, system developing for shelf and tank fleet monitoring becomes very crucial today. The ScanEx R&D Center has developed an integral solution for the SAR data fast acquisition, processing and oil spill monitoring. This technology has combined the UniScan multimission station, the ScanEx SAR Processor and ScanEx Image Processor software. The UniScan station is capable to receive data from the 12 operating Earth observation satellites including the Radarsat-1 and Envisat-1. The SAR images were processed using the ScanEx SAR Processor software. The new version of the ScanEx Image Processor supports automatic and manual oil spill detection. The ScanEx SAR integral technology was successfully tested to detect oil spills in the Caspian Sea in May 2006 and in September 2007. The technology meets the customer's requirements for fast data processing.
引用
收藏
页码:361 / 365
页数:5
相关论文
共 50 条
  • [1] RESEARCH ORIENTED FOSS SOLUTION FOR AUTOMATIC OIL SPILL DETECTION USING RISAT-1 SAR DATA
    Shah, Pooja
    Zaveri, Tanish
    Kumar, Raj
    Sharma, Shubham
    Patel, Darshan
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 3121 - 3124
  • [2] Neural networks for oil spill detection using ERS-SAR data
    Del Frate, F
    Petrocchi, A
    Lichtenegger, J
    Calabresi, G
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (05): : 2282 - 2287
  • [3] A Look at Oil Spill Detection and Identification Using SAR
    Wai, Ng Su
    [J]. 2015 INTERNATIONAL CONFERENCE ON SPACE SCIENCE AND COMMUNICATION (ICONSPACE), 2015, : 52 - +
  • [4] Edge Detection of Oil Spill Using SAR Image
    Hu, Guanhua
    Xiao, Xia
    [J]. 2013 CROSS STRAIT QUAD-REGIONAL RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE (CSQRWC), 2013, : 466 - 469
  • [5] 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
  • [6] 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 - +
  • [7] Oil Spill Detection in SAR Images Using Wavelets and Morphology
    Kuzmanic, Ivica
    Vujovic, Igor
    [J]. PROCEEDINGS ELMAR-2010, 2010, : 337 - 340
  • [8] MODEL BASED OIL SPILL DETECTION USING POLARIMETRIC SAR
    Salberg, Arnt-Borre
    Rudjord, Oystein
    Solberg, Anne H. S.
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 5884 - 5887
  • [9] Evaluation of Oil Spill Detection Models by Oil Spill Distribution Characteristics and CNN Architectures Using Sentinel-1 SAR data
    Park, Soyeon
    Ahn, Myoung-Hwan
    Li, Chenglei
    Kim, Junwoo
    Jeon, Hyungyun
    Kim, Duk-jin
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2021, 37 (05) : 1475 - 1490
  • [10] Modification of CFAR Algorithm for Oil Spill Detection from SAR Data
    Wang, Siyuan
    Fu, Xingyu
    Zhao, Yan
    Wang, Hui
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2015, 21 (02): : 163 - 174