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Computational Techniques of Oil Spill Detection in Synthetic Aperture Radar Data: Review Cases

In: Recent Oil Spill Challenges That Require More Attention

Author

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  • Singanamalla Vijayakumar

Abstract

In this chapter, a major role of environmental assessment is an oil spill identifies or detected from the coastal region surfaces or marine surroundings. Normally, the oil spills on the coastal regions impact their characteristics of environmental activities. However, these activities are monitoring through several radar satellites and sensor. For those achievable activities detecting or identifying, many researchers developed several approaches. Particularly, this chapter discusses about the detection of oil spill current operational effects on coastal region surfaces. In addition, the current research operations of oil spill characterizations and quality of its impacts, effects of current environmental bio-systems, their control measurement strategies, and its surveillance operations are discussed. Finally, the oil spill detection is done through the SAR image region classification based on its feature extraction. This could be monitored from the image dark region selection through remote sensing techniques.

Suggested Citation

  • Singanamalla Vijayakumar, 2023. "Computational Techniques of Oil Spill Detection in Synthetic Aperture Radar Data: Review Cases," Chapters, in: Maged Marghany (ed.), Recent Oil Spill Challenges That Require More Attention, IntechOpen.
    • Handle: RePEc:ito:pchaps:277775
    DOI: 10.5772/intechopen.108115
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    More about this item

    Keywords

    remote sensing; oil spill detection; coastal monitoring; pollution control; SAR images;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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