{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T22:06:24Z","timestamp":1767909984025,"version":"3.49.0"},"reference-count":48,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,6,21]],"date-time":"2018-06-21T00:00:00Z","timestamp":1529539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51509030"],"award-info":[{"award-number":["51509030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41571336"],"award-info":[{"award-number":["41571336"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Marine Public Welfare Project","award":["201305002"],"award-info":[{"award-number":["201305002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This study employs polarimetric synthetic aperture radar (Pol-SAR) to examine the scattering properties of continuous slow-release oil slicks on the sea surface. The objective is to extract and analyze the general polarization scattering properties of continuous slow-release slicks, i.e., those slicks that consist of substances released at a fairly slow and relatively constant rate, and to determine the influence of the slick formation process on these properties. Using multi-polarization feature parameters derived from the averaged coherency matrix, we find that the scattering mechanisms related to the continuous slow-release slicks differ from those of anthropogenic slicks, possibly as a result of the multiple scattering mechanisms that occur between the interfaces formed by the thick slick layer. Combinations of entropy (H) and modified anisotropy (A12) are relatively robust parameters for identifying continuous slow-release slicks under different sea conditions, and may serve as a reference parameter for slick detection.<\/jats:p>","DOI":"10.3390\/ijgi7070237","type":"journal-article","created":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T02:46:21Z","timestamp":1529635581000},"page":"237","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Analysis of Scattering Properties of Continuous Slow-Release Slicks on the Sea Surface Based on Polarimetric Synthetic Aperture Radar"],"prefix":"10.3390","volume":"7","author":[{"given":"Guannan","family":"Li","sequence":"first","affiliation":[{"name":"Navigation College, Dalian Maritime University, Dalian 116026, China"},{"name":"Environmental Information Institute, Dalian Maritime University, Dalian 116026, China"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"Navigation College, Dalian Maritime University, Dalian 116026, China"},{"name":"Environmental Information Institute, Dalian Maritime University, Dalian 116026, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9835-9983","authenticated-orcid":false,"given":"Bingxin","family":"Liu","sequence":"additional","affiliation":[{"name":"Navigation College, Dalian Maritime University, Dalian 116026, China"},{"name":"Environmental Information Institute, Dalian Maritime University, Dalian 116026, China"}]},{"given":"Yongchao","family":"Hou","sequence":"additional","affiliation":[{"name":"Navigation College, Dalian Maritime University, Dalian 116026, China"},{"name":"Environmental Information Institute, Dalian Maritime University, Dalian 116026, China"}]},{"given":"Jianchao","family":"Fan","sequence":"additional","affiliation":[{"name":"National Marine Environmental Monitoring Center, Dalian 116026, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,21]]},"reference":[{"key":"ref_1","first-page":"91","article-title":"A review of oil spill remote sensing","volume":"2","author":"Fingas","year":"2018","journal-title":"Sensors (Basel)"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Hou, Y., Li, Y., Liu, B., Liu, Y., and Wang, T. (2018). Design and implementation of a coastal-mounted sensor for oil film detection on seawater. Sensors (Basel), 2.","DOI":"10.3390\/s18010070"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Liu, B., Li, Y., Liu, C., Xie, F., and Muller, J.-P. (2018). Hyperspectral features of oil-polluted sea ice and the response to the contamination area fraction. Sensors (Basel), 2.","DOI":"10.3390\/s18010234"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Cui, C., Li, Y., Liu, B., and Li, G. (2017). A new endmember preprocessing method for the hyperspectral unmixing of imagery containing marine oil spills. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi6090286"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.dsr2.2015.07.017","article-title":"Hindcast, GIS and susceptibility modelling to assist oil spill clean-up and mitigation on the southern coast of Cyprus (Eastern Mediterranean)","volume":"133","author":"Alves","year":"2016","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.marpolbul.2014.06.034","article-title":"A three-step model to assess shoreline and offshore susceptibility to oil spills: The South Aegean (Crete) as an analogue for confined marine basins","volume":"86","author":"Alves","year":"2014","journal-title":"Mar. Pollut. Bull."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.envpol.2015.07.042","article-title":"Modelling of oil spills in confined maritime basins: The case for early response in the Eastern Mediterranean Sea","volume":"206","author":"Alves","year":"2015","journal-title":"Environ. Pollut."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"36882","DOI":"10.1038\/srep36882","article-title":"Multidisciplinary oil spill modeling to protect coastal communities and the environment of the Eastern Mediterranean Sea","volume":"6","author":"Alves","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1007\/s00367-003-0135-0","article-title":"Natural seepage of crude oil into the marine environment","volume":"3\u20134","author":"Kvenvolden","year":"2003","journal-title":"Geo-Mar. Lett."},{"key":"ref_10","unstructured":"Transportation Research Board and National Research Council (2003). Oil in the Sea III: Inputs, Fates, and Effects, National Academies Press."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1016\/j.marpolbul.2004.07.016","article-title":"Coastal pollution hazards in southern California observed by SAR imagery: Stormwater plumes, wastewater plumes, and natural hydrocarbon seeps","volume":"11\u201312","author":"DiGiacomo","year":"2004","journal-title":"Mar. Pollut. Bull."},{"key":"ref_12","first-page":"L01604","article-title":"Detection of natural oil slicks in the NW Gulf of Mexico using MODIS imagery","volume":"1","author":"Hu","year":"2009","journal-title":"Geophys. Res. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Gade, M., H\u00fchnerfuss, H., and Korenowski, G.M. (2006). Basic physicochemical principles of monomolecular sea slicks and crude oil spills. Marine Surface Films, Springer.","DOI":"10.1007\/3-540-33271-5"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"de Ara\u00fajo Carvalho, G., Minnett, P.J., de Miranda, F.P., Landau, L., and Paes, E.T. (2017). Exploratory data analysis of synthetic aperture radar (SAR) measurements to distinguish the sea surface expressions of naturally-occurring oil seeps from human-related oil spills in Campeche Bay (Gulf of Mexico). ISPRS Int. J. Geo-Inf., 12.","DOI":"10.3390\/ijgi6120379"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.marpolbul.2014.03.059","article-title":"Review of oil spill remote sensing","volume":"1","author":"Fingas","year":"2014","journal-title":"Mar. Pollut. Bull."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Garcia-Pineda, O., Holmes, J., Rissing, M., Jones, R., Wobus, C., Svejkovsky, J., and Hess, M. (2017). Detection of oil near shorelines during the Deepwater Horizon oil spill using synthetic aperture radar (SAR). Remote Sens., 6.","DOI":"10.3390\/rs9060567"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Hu, J., Ghamisi, P., Schmitt, A., and Zhu, X.-X. (2016, January 21\u201324). Object based fusion of polarimetric SAR and hyperspectral imaging for land use classification. Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, USA.","DOI":"10.1109\/WHISPERS.2016.8071752"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3812","DOI":"10.1109\/TGRS.2012.2185804","article-title":"Polarimetric analysis of backscatter from the Deepwater Horizon oil spill using L-Band synthetic aperture radar","volume":"10","author":"Minchew","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Zhang, B., Perrie, W., Li, W., and Pichel, W.G. (2011). Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL047013"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3642","DOI":"10.1029\/JC093iC04p03642","article-title":"Radar signatures of oil films floating on the sea surface and the Marangoni effect","volume":"C4","author":"Alpers","year":"1988","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_21","unstructured":"Jackson, C.R., and Apel, J.R. SAR imaging of the ocean surface. Synthetic Aperture Radar Marine User's Manual, Available online: http:\/\/www.sarusersmanual.com\/."},{"key":"ref_22","first-page":"231","article-title":"While oil gently seeps from the seafloor: Oil naturally leaking into the ocean offers a \u2018laboratory\u2019 to study accidental spills","volume":"3","author":"Reddy","year":"2009","journal-title":"Oceanus"},{"key":"ref_23","first-page":"121","article-title":"Investigating the Marine Protected Areas most at risk of current-driven pollution in the Gulf of Finland, the Baltic Sea, using a Lagrangian transport model","volume":"1\u20132","author":"Soomere","year":"2013","journal-title":"Mar. Pollut. Bull."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.marpolbul.2017.07.018","article-title":"Modelling oil plumes from subsurface spills","volume":"1","author":"Lardner","year":"2017","journal-title":"Mar. Pollut. Bull."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"5302","DOI":"10.1109\/TGRS.2013.2287916","article-title":"Characterization of marine surface slicks by Radarsat-2 multipolarization features","volume":"9","author":"Skrunes","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.isprsjprs.2012.12.007","article-title":"On the degree of polarization for SAR sea oil slick observation","volume":"4","author":"Nunziata","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"6521","DOI":"10.1109\/TGRS.2013.2297193","article-title":"Oil spill detection in hybrid-polarimetric SAR images","volume":"10","author":"Salberg","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1109\/LGRS.2013.2288336","article-title":"Improved compact polarimetric SAR quad-pol reconstruction algorithm for oil spill detection","volume":"11","author":"Li","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_29","unstructured":"Zatyagalova, V.V., Ivanov, A.Y., and Golubov, B.N. (2007, January 23\u201327). Application of Envisat SAR imagery for mapping and estimation of natural oil seeps in the South Caspian Sea, 2007. Proceedings of the \u2018Envisat Symposium 2007\u2019, Montreux, Switzerland."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Guo, H., Wu, D., and An, J. (2017). Discrimination of oil slicks and lookalikes in polarimetric SAR images using CNN. Sensors (Basel), 8.","DOI":"10.3390\/s17081837"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.rse.2012.11.019","article-title":"SAR imaging of ocean surface oil seep trajectories induced by near inertial oscillation","volume":"130","author":"Li","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1109\/TGRS.2016.2594867","article-title":"A Multifamily GLRT for Oil Spill Detection","volume":"55","author":"Orlando","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1109\/TGRS.2016.2595626","article-title":"Detecting Covariance Symmetries in Polarimetric SAR Images","volume":"55","author":"Pallotta","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1109\/TGRS.2006.888097","article-title":"SAR polarimetry to observe oil spills","volume":"45","author":"Migliaccio","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Tian, W., Shao, Y., Yuan, J., Wang, S., and Liu, Y. (2010, January 25\u201330). An experiment for oil spill recognition using RADARSAT-2 image. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, HI, USA.","DOI":"10.1109\/IGARSS.2010.5652898"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"18851","DOI":"10.1029\/97JC01915","article-title":"Imaging of biogenic and anthropogenic ocean surface films by the multifrequency\/multipolarization SIR-C\/X-SAR","volume":"103","author":"Gade","year":"1998","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_37","first-page":"3751","article-title":"Analysis of the polarimetric SAR scattering properties of oil-covered waters","volume":"8","author":"Li","year":"2015","journal-title":"IEEE J.-Stars"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1049\/ip-rsn:20045118","article-title":"Mapping ocean surface features using biogenic slick-fields and SAR polarimetric decomposition techniques","volume":"3","author":"Schuler","year":"2006","journal-title":"IEEE Proc. Radar Sonar Navig."},{"key":"ref_39","first-page":"411","article-title":"Using SAR images to delineate ocean oil slicks with a texture-classifying neural network algorithm (TCNNA)","volume":"5","author":"Zimmer","year":"2009","journal-title":"Can. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Liu, Y., MacFadyen, A., Ji, Z.-G., and Weisberg, R.H. (2013). Studies of the Deepwater Horizon oil spill with the UAVSAR radar. Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, 1, American Geophysical Union.","DOI":"10.1029\/2011GM001147"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/36.551935","article-title":"An entropy based classification scheme for land applications of polarimetric SAR","volume":"1","author":"Cloude","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"337","DOI":"10.2528\/PIERB11123011","article-title":"Jute and tea discrimination through fusion of SAR and optical data","volume":"39","author":"Haldar","year":"2012","journal-title":"Prog. Electromagn. Res. B"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/0034-4257(94)90142-2","article-title":"Radar remote sensing of forest and wetland ecosystems in the Central American tropics","volume":"2","author":"Pope","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1109\/36.485127","article-title":"A review of target decomposition theorems in radar polarimetry","volume":"2","author":"Cloude","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_45","unstructured":"Lee, J.-S., and Pottier, E. (2009). Polarimetric Radar Imaging: From Basics to Applications, CRC Press."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Plant, W.J., Keller, W.C., Hayes, K., and Chatham, G. (2010). Normalized radar cross section of the sea for backscatter: 1. Mean levels. J. Geophys. Res., C9.","DOI":"10.1029\/2009JC006078"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Raney, R.K., Cahill, J.T.S., Patterson, G.W., and Bussey, D.B.J. (2012). The m-chi decomposition of hybrid dual-polarimetric radar data with application to lunar craters. J. Geophys. Res. Planets, E12.","DOI":"10.1029\/2011JE003986"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.260.5107.509","article-title":"The opposition effect of the moon: The contribution of coherent backscatter","volume":"5107","author":"Hapke","year":"1993","journal-title":"Science"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/7\/7\/237\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:09:39Z","timestamp":1760195379000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/7\/7\/237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,21]]},"references-count":48,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2018,7]]}},"alternative-id":["ijgi7070237"],"URL":"https:\/\/doi.org\/10.3390\/ijgi7070237","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,21]]}}}