{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:25:40Z","timestamp":1790814340179,"version":"4.1.0"},"reference-count":37,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T00:00:00Z","timestamp":1509321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A novel technique for ship wake detection has been recently proposed and applied on X-band Synthetic Aperture Radar images provided by COSMO\/SkyMed and TerraSAR-X. The approach shows that the vast majority of wake features are correctly detected and validated in critical situations. In this paper, the algorithm was applied to 28 wakes imaged by Sentinel-1 mission with different polarizations and incidence angles with the aim of testing the method\u2019s robustness with reference to radar frequency and resolution. The detection process is properly modified. The results show that the features were correctly classified in 78.5% of cases, whereas false confirmations occur mainly on Kelvin cusps. Finally, the results were compared with the algorithm performance on X-band images, showing that no significant difference arises. In fact, the total false confirmations rate was 15.8% on X-band images and 18.5% on C-band images. Moreover, since the main criticality concerns again the false confirmation of Kelvin cusps, the same empirical criterion suggested for the X-band SAR images yielded a negligible 1.5% of false detection rate.<\/jats:p>","DOI":"10.3390\/rs9111107","type":"journal-article","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T12:16:23Z","timestamp":1509365783000},"page":"1107","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Performance Analysis of Ship Wake Detection on Sentinel-1 SAR Images"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9260-6736","authenticated-orcid":false,"given":"Maria","family":"Graziano","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, University of Naples \u201cFederico II\u201d, Piazzale Tecchio, 80, 80125 Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Grasso","sequence":"additional","affiliation":[{"name":"Department of Industrial and Information Engineering, University of Campania \u201cLuigi Vanvitelli\u201d, Via Roma, 29, 81031 Aversa (CE), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"D\u2019Errico","sequence":"additional","affiliation":[{"name":"Department of Industrial and Information Engineering, University of Campania \u201cLuigi Vanvitelli\u201d, Via Roma, 29, 81031 Aversa (CE), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1109\/TGRS.1990.572948","article-title":"Application of Radon Transform Techniques to Wake Detection in Seasat-A SAR Images","volume":"28","author":"Rey","year":"1990","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1109\/36.368224","article-title":"Localized Radon Transform-Based Detection of Ship Wakes in SAR Images","volume":"33","author":"Copeland","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.1109\/TGRS.2004.833390","article-title":"The speed and beam of a ship from its wake\u2019s SAR images","volume":"42","author":"Zilman","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Graziano, M.D., D\u2019Errico, M., and Rufino, G. (2016). Wake component detection in X-band SAR images for ship heading and velocity estimation. Remote Sens., 8.","DOI":"10.3390\/rs8060498"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.actaastro.2016.07.001","article-title":"Ship heading and velocity analysis by wake detection in SAR images","volume":"128","author":"Graziano","year":"2016","journal-title":"Acta Astronaut."},{"key":"ref_6","unstructured":"Graziano, M.D. (2015, January 26\u201331). SAR-based ship route estimation by wake components detection and classification. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Graziano, M.D., Rufino, G., and D\u2019Errico, M. (2014). Wake-based ship route estimation in high-resolution SAR images. Proc. SPIE Int. Soc. Opt. Eng., 9243.","DOI":"10.1117\/12.2067301"},{"key":"ref_8","unstructured":"Graziano, M.D., and Sabella, M. (2017, January 19\u201322). Wake detection performance analysis in X- and C-band SAR images. Proceedings of the MTS\/IEEE Oceans, Aberdeen, Scotland."},{"key":"ref_9","unstructured":"Pichel, W.G., Clemente-col\u00f3n, P., Wackerman, C.C., and Friedman, K.S. (2004). Ship and Wake Detection, SAR Marine Users Manual, Chapter 12."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"12293","DOI":"10.1029\/JC093iC10p12293","article-title":"Synthetic aperture radar imaging of surface ship wakes","volume":"93","author":"Lyden","year":"1988","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1109\/LGRS.2017.2751083","article-title":"SAR-Based Vessel Velocity Estimation From Partially Imaged Kelvin Pattern","volume":"14","author":"Panico","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"924018","DOI":"10.1117\/12.2067339","article-title":"Radar manifestations of ship wakes in algae bloom zones","volume":"9240","author":"Mityagina","year":"2014","journal-title":"Proc. SPIE"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Rosenfeld, A., and Kak, A.C. (1982). Digital Picture Processing: Introduction. Digital Picture Processing, Springer.","DOI":"10.1016\/B978-0-12-597302-1.50007-4"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Pelich, R., Longepe, N., Mercier, G., Hajduch, G., and Garello, R. (2015, January 26\u201331). Performance evaluation of Sentinel-1 data in SAR ship detection. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7326217"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Santamaria, C., Alvarez, M., Greidanus, H., Syrris, V., Soille, P., and Argentieri, P. (2017). Mass processing of sentinel-1 images for maritime surveillance. Remote Sens., 9.","DOI":"10.3390\/rs9070678"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"967","DOI":"10.5194\/isprsarchives-XL-7-W3-967-2015","article-title":"Maritime products using TerraSAR-X and sentinel-1 imagery","volume":"40","author":"Lehner","year":"2015","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. ISPRS Arch."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1080\/2150704X.2016.1226522","article-title":"The exploitation of Sentinel-1 images for vessel size estimation","volume":"7","author":"Stasolla","year":"2016","journal-title":"Remote Sens. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1109\/JOE.2016.2520216","article-title":"First Comparison of Sentinel-1 and TerraSAR-X Data in the Framework of Maritime Targets Detection: South Italy Case","volume":"41","author":"Velotto","year":"2016","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Greidanus, H., Alvarez, M., Santamaria, C., Thoorens, F.X., Kourti, N., and Argentieri, P. (2017). The SUMO ship detector algorithm for satellite radar images. Remote Sens., 9.","DOI":"10.3390\/rs9030246"},{"key":"ref_20","unstructured":"Wahl, T., Eldhuset, K., and Skoelv, A. (1992, January 4\u20136). Ship traffic monitoring using the ERS-1 SAR. Proceedings of the 1st ERS-1 Symposium, Cannes, France."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1109\/36.508418","article-title":"An automatic ship and ship wake detection system for spaceborne sar images in coastal regions","volume":"34","author":"Eldhuset","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","unstructured":"Holt, B. (2004). SAR imaging of the ocean surface, SAR Marine Users Manual, Chapter 2."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2519","DOI":"10.1080\/014311699211912","article-title":"Radar imaging of Kelvin arms of ship wakes","volume":"20","author":"Hennings","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Alpers, W., Romeiser, R., and Hennings, I. (1998, January 6\u201310). On the radar imaging mechanism of Kelvin arms of ship wakes. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Seattle, WA, USA.","DOI":"10.1109\/IGARSS.1998.703699"},{"key":"ref_25","unstructured":"Melsheimer, C., Lim, H., and Shen, C. (1999, January 22\u201325). Observation and Analysis of Ship Wakes in ERS-SAR and Spot Images. Proceedings of the 20th Asian Conference on Remote Sensing, Hong Kong, China."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1109\/36.103305","article-title":"The Simulation of the SAR Image of a Ship Wake","volume":"29","author":"Tunaley","year":"1991","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","unstructured":"Roy, D.M., and Tunaley, J.K.E. (2010). Visibility of Turbulent Ship Wakes in Dual- Polarized RADARSAT-2 Imagery, Defence R&D."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1109\/TAES.1971.310292","article-title":"Synthetic Aperture Imaging Radar and Moving Targets","volume":"AES-7","author":"Raney","year":"1971","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1109\/TAP.1985.1143684","article-title":"On the Multilook Images of Moving Targets by Synthetic Aperture Radars","volume":"33","author":"Ouchi","year":"1985","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Ermakov, S., Kapustin, I., and Lazareva, T. (2014). Ship wake signatures in radar\/optical images of the sea surface: observations and physical mechanisms. Proc. SPIE, 9240.","DOI":"10.1117\/12.2067367"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1080\/07038992.2001.10854896","article-title":"Automatic detection of ships in RADARSAT-1 SAR imagery","volume":"27","author":"Wackerman","year":"2001","journal-title":"Can. J. Remote Sens."},{"key":"ref_32","unstructured":"Lorenzzetti, J.A., Paes, R.L., and Gherardi, D.M. (2010, January 25\u201329). A Performance Comparison of a CFAR Ship Detection Algorithm Using Envisat, Radarsat, Cosmo-Skymed And Terrasar-X Images. Proceedings of the SeaSAR, Frascati, Italy."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1109\/LGRS.2010.2041322","article-title":"Ship detection using TerraSAR-X images in the Campos Basin (Brazil )","volume":"7","author":"Paes","year":"2010","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_34","unstructured":"(2017, October 26). Copernicus Space Component Mission Management Team High Level Operation Plan (HLOP) of the Sentinel Mission. Available online: https:\/\/sentinel.esa.int\/documents\/247904\/685154\/Sentinel_High_Level_Operations_Plan."},{"key":"ref_35","unstructured":"(2017, October 26). Italian Space Agency COSMO-SkyMed SAR Products Handbook. Available online: http:\/\/www.cosmo-skymed.it\/docs\/ASI-CSM-ENG-RS-092-A-CSKSARProductsHandbook.pdf."},{"key":"ref_36","unstructured":"(2017, October 26). AIRBUS TerraSAR-X Image Product Guide. Available online: http:\/\/www.intelligence-airbusds.com\/files\/pmedia\/public\/r459_9_20171004_tsxx-airbusds-ma-0009_tsx-productguide_i2.01.pdf."},{"key":"ref_37","unstructured":"Bourbigot, M., and Piantanida, R. (2017, October 26). Sentinel-1 Product Definition. Available online: https:\/\/sentinel.esa.int\/web\/sentinel\/user-guides\/document-library\/-\/asset_publisher\/xlslt4309D5h\/content\/sentinel-1-product-definition;jsessionid=5CEB11BB81C7A2E29D956D2AA1C031E9.jvm2."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/11\/1107\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:48:52Z","timestamp":1760208532000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/11\/1107"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,30]]},"references-count":37,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2017,11]]}},"alternative-id":["rs9111107"],"URL":"https:\/\/doi.org\/10.3390\/rs9111107","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,30]]}}}