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

Author:

Vijayakumar Singanamalla

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.

Publisher

IntechOpen

Reference73 articles.

1. Frate FD, Petrocchi A, Lichtenegger J, Calabresi G. Neural networks for oil spill detection using ERS-SAR data. Geoscience and Remote Sensing. 2000;38(5):2282-2287

2. Gade M, Redondo JM. Marine pollution in European coastal waters monitored by the ERS-2 SAR: A comprehensive statistical analysis. In: OCEANS'99 MTS/IEEE. Riding the Crest into the 21st Century. Vol. 3. 1999. pp. 1239-1243

3. Walterscheid I, Klare J, Brenner AR, Ender JH, Loffeld O. Challenges of a bistatic spaceborne/ airborne SAR experiment. EUSAR. 2006:1-4

4. Mccandless WWS, Jackson CR. Principles of synthetic aperture radar. SAR Mar. User’s Man. 1978:1-23

5. Franceschetti G, Lanari R. Synthetic Aperture Radar Processing. CRC Press; 1999

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