{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T14:41:14Z","timestamp":1759588874973},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2009,7,7]],"date-time":"2009-07-07T00:00:00Z","timestamp":1246924800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2010,8]]},"DOI":"10.1007\/s10044-009-0164-z","type":"journal-article","created":{"date-parts":[[2009,7,6]],"date-time":"2009-07-06T08:07:00Z","timestamp":1246867620000},"page":"349-366","source":"Crossref","is-referenced-by-count":38,"title":["One-class classification for oil spill detection"],"prefix":"10.1007","volume":"13","author":[{"given":"Attilio","family":"Gambardella","sequence":"first","affiliation":[]},{"given":"Giorgio","family":"Giacinto","sequence":"additional","affiliation":[]},{"given":"Maurizio","family":"Migliaccio","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Montali","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2009,7,7]]},"reference":[{"key":"164_CR1","unstructured":"Delilah HA (2002) Marine oil pollution: technologies and technologies for detection and early warning. European Commission JRC report, EUR 20231 EN"},{"key":"164_CR2","unstructured":"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"},{"key":"164_CR3","doi-asserted-by":"crossref","unstructured":"Brekke C, Solberg AHS (2005) Oil spill detection by satellite remote sensing. Remote Sens Environ 95:1\u201313","DOI":"10.1016\/j.rse.2004.11.015"},{"key":"164_CR4","doi-asserted-by":"crossref","unstructured":"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","DOI":"10.1109\/BALTIC.2004.7296831"},{"key":"164_CR5","doi-asserted-by":"crossref","unstructured":"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\u2013169","DOI":"10.1109\/OCEANS.2003.178539"},{"issue":"3","key":"164_CR6","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1109\/JOE.2005.857518","volume":"30","author":"M Migliaccio","year":"2005","unstructured":"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\u2013507","journal-title":"IEEE J Ocean Eng"},{"issue":"1","key":"164_CR7","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1080\/014311699213596","volume":"20","author":"HA Espedal","year":"1999","unstructured":"Espedal HA, Wahl T (1999) Satellite SAR oil spill detection using wind history information. Int J Remote Sens 20(1):49\u201365","journal-title":"Int J Remote Sens"},{"issue":"3","key":"164_CR8","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1023\/A:1007452223027","volume":"30","author":"M Kubat","year":"1998","unstructured":"Kubat M, Holte R, Matwin S (1998) Machine learning for the detection of oil spills in satellite radar images. Mach Learn 30(3):195\u2013215","journal-title":"Mach Learn"},{"issue":"4","key":"164_CR9","doi-asserted-by":"crossref","first-page":"1916","DOI":"10.1109\/36.774704","volume":"37","author":"AHS Solberg","year":"1999","unstructured":"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\u20131924","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"5","key":"164_CR10","doi-asserted-by":"crossref","first-page":"2282","DOI":"10.1109\/36.868885","volume":"38","author":"F Del Frate","year":"2000","unstructured":"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\u20132287","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"18","key":"164_CR11","doi-asserted-by":"crossref","first-page":"3561","DOI":"10.1080\/014311600750037589","volume":"21","author":"B Fiscella","year":"2000","unstructured":"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\u20133566","journal-title":"Int J Remote Sens"},{"issue":"2","key":"164_CR12","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/S0303-2434(01)85011-X","volume":"3","author":"M Marghany","year":"2001","unstructured":"Marghany M (2001) RADARSAT automatic algorithms for detecting oil spill pollution. Int J Appl Earth Observ Geoinf 3(2):191\u2013196","journal-title":"Int J Appl Earth Observ Geoinf"},{"issue":"3","key":"164_CR13","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1080\/01431160512331326558","volume":"26","author":"F Nirchio","year":"2005","unstructured":"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\u20131174","journal-title":"Int J Remote Sens"},{"issue":"3","key":"164_CR14","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1109\/JOE.2005.857526","volume":"30","author":"F Girard-Ardhuin","year":"2005","unstructured":"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\u2013495","journal-title":"IEEE J Ocean Eng"},{"key":"164_CR15","doi-asserted-by":"crossref","unstructured":"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\u2013652","DOI":"10.1016\/j.envsoft.2004.11.010"},{"key":"164_CR16","doi-asserted-by":"crossref","unstructured":"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\u201387","DOI":"10.1117\/12.462518"},{"key":"164_CR17","doi-asserted-by":"crossref","unstructured":"Stathakis D, Topouzelis K, Karathanassi V (2006) Large-scale feature selection using evolved neural networks. In: Proceedings of SPIE, vol 6365","DOI":"10.1117\/12.688149"},{"issue":"3","key":"164_CR18","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1109\/TGRS.2006.887019","volume":"45","author":"AHS Solberg","year":"2007","unstructured":"Solberg AHS, Brekke C, Husoy PO (2007) Oil spill detection in Radarsat and Envisat SAR images. IEEE Trans Geosci Remote Sens 45(3):746\u2013755","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"164_CR19","unstructured":"Tax DMJ (2001) One class classification. PhD thesis, Delft University of Technology, The Netherlands"},{"key":"164_CR20","volume-title":"Introduction to statistical pattern recognition","author":"K Fukunaga","year":"1990","unstructured":"Fukunaga K (1990) Introduction to statistical pattern recognition, 2nd edn. Academic Press, San Diego","edition":"2"},{"key":"164_CR21","volume-title":"Pattern classification","author":"R Duda","year":"2001","unstructured":"Duda R, Hart P, Stork D (2001) Pattern classification, 2nd edn. Wiley, New York","edition":"2"},{"issue":"1","key":"164_CR22","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/34.824819","volume":"22","author":"AK Jain","year":"2000","unstructured":"Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 22(1):4\u201337","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"164_CR23","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/34.574797","volume":"19","author":"AK Jain","year":"1997","unstructured":"Jain AK, Zongker D (1997) Feature selection: evaluation, application, and small sample performance. IEEE Trans Pattern Anal Mach Intell 19(2):153\u2013158","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"164_CR24","unstructured":"Galicia Mission Data Analysis Report, Telaer Consortium (2003) Available at: http:\/\/www.telaer.it\/it\/MissioneGaliziaContent.htm"},{"key":"164_CR25","doi-asserted-by":"crossref","unstructured":"Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning. Springer, Berlin","DOI":"10.1007\/978-0-387-21606-5"},{"issue":"1","key":"164_CR26","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.inffus.2006.10.002","volume":"9","author":"G Giacinto","year":"2008","unstructured":"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\u201382","journal-title":"Inf Fusion"},{"key":"164_CR27","doi-asserted-by":"crossref","unstructured":"Perdisci R, Guofei G, Lee W (2006) Using an ensemble of one-class SVM classifiers to Harden payload-based anomaly detection systems. In: ICDM\u201906, pp 488\u2013498","DOI":"10.1109\/ICDM.2006.165"},{"key":"164_CR28","doi-asserted-by":"crossref","unstructured":"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\u201337","DOI":"10.1109\/ICIP.2001.958946"},{"key":"164_CR29","unstructured":"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\u20131145"},{"issue":"6","key":"164_CR30","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1109\/TSMCB.2006.876189","volume":"36","author":"D Wang","year":"2006","unstructured":"Wang D, Yeung DS, Tsang ECC (2006) Structured one-class classification systems. IEEE Trans Syst Man Cybern B Cybern 36(6):1283\u20131295","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"issue":"4","key":"164_CR31","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1109\/TGRS.2006.890414","volume":"45","author":"C Sanchez-Hernandez","year":"2007","unstructured":"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\u20131073","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"7","key":"164_CR32","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1162\/089976601750264965","volume":"13","author":"B Scholkopf","year":"2001","unstructured":"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\u20131471","journal-title":"Neural Comput"},{"key":"164_CR33","unstructured":"Vapnik V (1998) Statistical learning theory. Wiley"},{"key":"164_CR34","doi-asserted-by":"crossref","unstructured":"Jin Huang, Charles X. Ling (2005) Using AUC and accuracy in evaluating learning algorithms. IEEE Trans Knowl Data Eng 17(3):299\u2013310","DOI":"10.1109\/TKDE.2005.50"},{"key":"164_CR35","unstructured":"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"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-009-0164-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-009-0164-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-009-0164-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T08:02:29Z","timestamp":1559116949000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-009-0164-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,7,7]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2010,8]]}},"alternative-id":["164"],"URL":"https:\/\/doi.org\/10.1007\/s10044-009-0164-z","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,7,7]]}}}