Construction and Application of Marine Oil Spill Gravity Vector Differences Detection Model

  • Weiguang Su
  • Bo Ping
  • Fenzhen Su
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8157)


This paper proposes a new marine oil spill gravity vector differences detection model based on scalability or viscosity of the oil and water. The model used the median filtering, zero pixels elimination, image normalization, nonlinear transformation, and brought in the law of gravity. The research was upon two oil spill incidents which occurred on the Mediterranean Sea in 2004 and the Gulf of Mexico in 2006. Based on the MODIS remote sensing data, we executed the model to detect the two incidents and compared the results with the results of Sobel detection algorithm. The experimental results illustrated that the model introduced in this paper is superior to Sobel detection algorithm. The proposed model is powerful in oil spill detection.


marine oil spill gravity vector differences 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Weiguang Su
    • 1
    • 3
    • 4
  • Bo Ping
    • 2
  • Fenzhen Su
    • 3
  1. 1.Key Laboratory of Coastal Zone Environmental ProcessesYantai Institute of Coastal Zone Research(YIC), Chinese Academy of Sciences(CAS), Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, YICCASYantaiChina
  2. 2.School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
  3. 3.LREIS, Institute of Geographic Sciences and Natural Resources ResearchCASBeijingChina
  4. 4.University of Chinese Academy of ScienceChina

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