One-class classification for oil spill detection

Pattern Analysis and Applications

Volumn 13, Issue 3, 2010, Pages 349-366

  Gambardella, Attilio ^a,c   Giacinto, Giorgio ^b   Migliaccio, Maurizio ^a   Montali, Andrea ^b  

^a UNIVERSITY OF NAPLES PARTHENOPE   (Italy)

^b UNIVERSITY OF CAGLIARI   (Italy)

^c JOINT RESEARCH CENTRE   (Italy)

Author keywords

Feature analysis; Oil spills; One class classification; Pattern classification; SAR

Indexed keywords

EID: 77955558653     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-009-0164-z     Document Type: Article

References (35)

1. Delilah HA (2002) Marine oil pollution: technologies and technologies for detection and early warning. European Commission JRC report, EUR 20231 EN.
2. Fukuyama K, Shigenaka G, van Blaricom GR (1998) Oil spill impacts and the biological basis for response guidance: an applied synthesis of research on tree subartic intertidal communities. NOAA Tech. Memorandum, NOS ORCA 125, Seattle.
3. Brekke C, Solberg AHS (2005) Oil spill detection by satellite remote sensing. Remote Sens Environ 95: 1-13.
4. Migliaccio M, Tranfaglia M (2004) Oil spill observation by SAR: a review. In: Proceedings of US-Baltic international symposium on advances in marine environmental research monitoring and technologies. Klaipeda, Lithuania.
5. Girard-Ardhuin F, Mercier G, Garello R (2003) Oil slick detection by SAR imagery: potential and limitation. In: Proceedings of ocean 2003, San Diego, USA, pp 164-169.
6. Migliaccio M, Tranfaglia M, Ermakov SA (2005) A physical approach for the observation of oil spills in SAR images. IEEE J Ocean Eng 30(3): 495-507.
7. Espedal HA, Wahl T (1999) Satellite SAR oil spill detection using wind history information. Int J Remote Sens 20(1): 49-65.
8. Kubat M, Holte R, Matwin S (1998) Machine learning for the detection of oil spills in satellite radar images. Mach Learn 30(3): 195-215.
9. Solberg AHS, Storvik G, Solberg R, Volden E (1999) Automatic detection of oil spills in ERS SAR images. IEEE Trans Geosci Remote Sens 37(4): 1916-1924.
10. Del Frate F, Petrocchi A, Lichtenegger J, Calabresi G (2000) Neural networks for oil spill detection using ERS-SAR data. IEEE Trans Geosci Remote Sens 38(5): 2282-2287.
11. Fiscella B, Giancaspro A, Nirchio F, Pavese P, Trivero P (2000) Oil spill detection using marine SAR images. Int J Remote Sens 21(18): 3561-3566.
12. Marghany M (2001) RADARSAT automatic algorithms for detecting oil spill pollution. Int J Appl Earth Observ Geoinf 3(2): 191-196.
13. Nirchio F, Sorgente M, Giancaspro A, Biamino W, Parisato E, Ravera R, Trivero P (2005) Automatic detection of oil spills from SAR images. Int J Remote Sens 26(3): 1157-1174.
14. Girard-Ardhuin F, Mercier G, Collard F, Garello R (2005) Operational oil-slick characterization by SAR imagery and synergistic data. IEEE J Ocean Eng 30(3): 487-495.
15. Keramitsloglou I, Cartalis C, Kiranoudis CT (2006) Automatic identification of oil spills on satellite images. In: Environmental modelling & software, vol 21, issue 5. Elsevier, Amsterdam, pp 640-652.
16. Topouzelis K, Karathanassai V, Pavlakis P, Rokos D (2003) Oil spill detection: SAR multi-scale segmentation & object features evaluation. In: Proceedings of SPIE, vol 4880, pp 77-87.
17. Stathakis D, Topouzelis K, Karathanassi V (2006) Large-scale feature selection using evolved neural networks. In: Proceedings of SPIE, vol 6365.
18. Solberg AHS, Brekke C, Husoy PO (2007) Oil spill detection in Radarsat and Envisat SAR images. IEEE Trans Geosci Remote Sens 45(3): 746-755.
19. Tax DMJ (2001) One class classification. PhD thesis, Delft University of Technology, The Netherlands.
20. Fukunaga K (1990) Introduction to statistical pattern recognition, 2nd edn. Academic Press, San Diego.
21. Duda R, Hart P, Stork D (2001) Pattern classification, 2nd edn. Wiley, New York.
22. Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 22(1): 4-37.
23. Jain AK, Zongker D (1997) Feature selection: evaluation, application, and small sample performance. IEEE Trans Pattern Anal Mach Intell 19(2): 153-158.
24. Galicia Mission Data Analysis Report, Telaer Consortium (2003) Available at: http://www. telaer. it/it/MissioneGaliziaContent. htm.
25. Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning. Springer, Berlin.
26. Giacinto G, Perdisci R, Del Rio M, Roli F (2008) Intrusion detection in computer networks by a modular ensemble of one-class classifiers. Inf Fusion 9(1): 69-82.
27. Perdisci R, Guofei G, Lee W (2006) Using an ensemble of one-class SVM classifiers to Harden payload-based anomaly detection systems. In: ICDM'06, pp 488-498.
28. Yunqiang C, Xiang SZ, Huang TS (2001) One-class SVM for learning in image retrieval. In: Proceedings of the 2001 international conference on image processing, vol 1, pp 34-37.
29. Zhang C, Chen X, Chen M, Chen S-C, Shyu M-L (2005) A Multiple instance learning approach for content based image retrieval using one-class support vector machine. In: IEEE international conference on multimedia and expo, ICME 2005, pp 1142-1145.
30. Wang D, Yeung DS, Tsang ECC (2006) Structured one-class classification systems. IEEE Trans Syst Man Cybern B Cybern 36(6): 1283-1295.
31. Sanchez-Hernandez C, Boyd DS, Foody GM (2007) One-class classification for mapping a specific land-cover class: SVDD classification of Fenland. IEEE Trans Geosci Remote Sens 45(4): 1061-1073.
32. Scholkopf B, Platt J, Shawe-Taylor J, Smola AJ, Williamson RC (2001) Estimating the support of a high-dimensional distribution. Neural Comput 13(7): 1443-1471.
33. Vapnik V (1998) Statistical learning theory. Wiley.
34. Jin Huang, Charles X. Ling (2005) Using AUC and accuracy in evaluating learning algorithms. IEEE Trans Knowl Data Eng 17(3): 299-310.
35. Duin RPW, Juszczak P, Paclik P, Pekalska E, de Ridder D, Tax DMJ (2004) PRTools4A Matlab toolbox for pattern recognition. Delft University of Technology, The Netherlands.