22.1.4.40 Oil Slicks, Oil Spills, Water Areas

Chapter Contents (Back)
Oil Slicks. Oil Spills. Water Detection.

Derrode, S.[Stéphane], Mercier, G.[Grégoire],
Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model,
PR(40), No. 3, March 2007, pp. 1135-1147.
Elsevier DOI 0611
Oil slick detection; Multiscale wavelet analysis; Hidden Markov chain; Unsupervised segmentation BibRef

Chang, L.[Lena], Tang, Z.S., Chang, S.H., Chang, Y.L.[Yang-Lang],
A region-based GLRT detection of oil spills in SAR images,
PRL(29), No. 14, October 2008, pp. 1915-1923.
Elsevier DOI 0804
Oil spills; SAR image; Image segmentation; Generalizes likelihood ratio test (GLRT); Constant false alarm ratio (CFAR) BibRef

Marques, R.C.P., de Medeiros, F.N.S.[Fátima N.S.], Ushizima, D.M.,
Target Detection in SAR Images Based on a Level Set Approach,
SMC-C(39), No. 2, March 2009, pp. 214-222.
IEEE DOI 0903
BibRef

de A. Lopes, D.F.[Darby F.], Ramalho, G.L.B.[Geraldo L.B.], de Medeiros, F.N.S.[Fátima N.S.], Costa, R.C.S.[Rodrigo C.S.], Araújo, R.T.S.[Regia T. S.],
Combining Features to Improve Oil Spill Classification in SAR Images,
SSPR06(928-936).
Springer DOI 0608
BibRef

Ramalho, G.L.B.[Geraldo L.B.], de Medeiros, F.N.S.[Fátima N.S.],
Improving Reliability of Oil Spill Detection Systems Using Boosting for High-Level Feature Selection,
ICIAR07(1172-1181).
Springer DOI 0708
BibRef
Earlier:
Using Boosting to Improve Oil Spill Detection in SAR Images,
ICPR06(II: 1066-1069).
IEEE DOI 0609
BibRef

Ramsey, III, E., Rangoonwala, A., Suzuoki, Y., Jones, C.,
Oil Detection in a Coastal Marsh with Polarimetric Synthetic Aperture Radar (SAR),
RS(3), No. 12, December 2011, pp. 2630-2662.
DOI Link 1203
BibRef

Velotto, D., Migliaccio, M., Nunziata, F., Lehner, S.,
Dual-Polarized TerraSAR-X Data for Oil-Spill Observation,
GeoRS(49), No. 12, December 2011, pp. 4751-4762.
IEEE DOI 1201
BibRef

Topouzelis, K.[Konstantinos], Psyllos, A.[Apostolos],
Oil spill feature selection and classification using decision tree forest on SAR image data,
PandRS(68), No. 1, March 2012, pp. 135-143.
Elsevier DOI 1204
Oil spill; Decision forest; Feature selection; SAR; Classification; Machine learning BibRef

Solberg, A.H.S.,
Remote Sensing of Ocean Oil-Spill Pollution,
PIEEE(100), No. 10, October 2012, pp. 2931-2945.
IEEE DOI 1210
BibRef

Vespe, M., Greidanus, H.,
SAR Image Quality Assessment and Indicators for Vessel and Oil Spill Detection,
GeoRS(50), No. 11, November 2012, pp. 4726-4734.
IEEE DOI 1210
BibRef

Nunziata, F.[Ferdinando], Gambardella, A.[Attilio], Migliaccio, M.[Maurizio],
On the degree of polarization for SAR sea oil slick observation,
PandRS(78), No. 1, April 2013, pp. 41-49.
Elsevier DOI 1304
Polarimetry; Synthetic Aperture Radar (SAR); Oil pollution; Degree of polarization; Coastal water BibRef

Salberg, A.B.[Arnt-Børre], Rudjord, O., Solberg, A.H.S.,
Oil Spill Detection in Hybrid-Polarimetric SAR Images,
GeoRS(52), No. 10, October 2014, pp. 6521-6533.
IEEE DOI 1407
Correlation BibRef

Brekke, C.[Camilla], Solberg, A.H.S.[Anne H.S.],
Feature Extraction for Oil Spill Detection Based on SAR Images,
SCIA05(75-84).
Springer DOI 0506
BibRef

De Carolis, G., Adamo, M., Pasquariello, G.,
On the Estimation of Thickness of Marine Oil Slicks From Sun-Glittered, Near-Infrared MERIS and MODIS Imagery: The Lebanon Oil Spill Case Study,
GeoRS(52), No. 1, January 2014, pp. 559-573.
IEEE DOI 1402
infrared imaging BibRef

Bandiera, F., Masciullo, A., Ricci, G.,
A Bayesian Approach to Oil Slicks Edge Detection Based on SAR Data,
GeoRS(52), No. 5, May 2014, pp. 2901-2909.
IEEE DOI 1403
Azimuth BibRef

Skrunes, S., Brekke, C., Eltoft, T.,
Characterization of Marine Surface Slicks by Radarsat-2 Multipolarization Features,
GeoRS(52), No. 9, Sept 2014, pp. 5302-5319.
IEEE DOI 1407
marine pollution BibRef

Niclos, R., Dona, C., Valor, E., Bisquert, M.,
Thermal-Infrared Spectral and Angular Characterization of Crude Oil and Seawater Emissivities for Oil Slick Identification,
GeoRS(52), No. 9, Sept 2014, pp. 5387-5395.
IEEE DOI 1407
crude oil BibRef

Etellisi, E.A.[Ehab A.], Deng, Y.M.[Yi-Ming],
Oil spill detection: imaging system modeling and advanced image processing using optimized SDC algorithm,
SIViP(8), No. 8, November 2014, pp. 1405-1419.
WWW Link. 1411
BibRef

Wei, E.B.[En-Bo], Liu, S.B.[Shu-Bo], Wang, Z.Z.[Zhen-Zhan], Tong, X.L.[Xiao-Lin], Dong, S.[Shuai], Li, B.[Bin], Liu, J.Y.[Jing-Yi],
Emissivity Measurements of Foam-Covered Water Surface at L-Band for Low Water Temperatures,
RS(6), No. 11, 2014, pp. 10913-10930.
DOI Link 1412
BibRef

Taravat, A., Latini, D., Del Frate, F.,
Fully Automatic Dark-Spot Detection From SAR Imagery With the Combination of Nonadaptive Weibull Multiplicative Model and Pulse-Coupled Neural Networks,
GeoRS(52), No. 5, May 2014, pp. 2427-2435.
IEEE DOI 1403
BibRef
Earlier: A1, A3, Only:
Weibull Multiplicative Model and Machine Learning Models for Full-Automatic Dark-Spot Detection from SAR Images,
SMPR13(421-424).
HTML Version. 1311
Feature extraction. Oil spill monitoring. BibRef

Pisano, A.[Andrea], Bignami, F.[Francesco], Santoleri, R.[Rosalia],
Oil Spill Detection in Glint-Contaminated Near-Infrared MODIS Imagery,
RS(7), No. 1, 2015, pp. 1112-1134.
DOI Link 1502
BibRef

Skrunes, S., Brekke, C., Eltoft, T., Kudryavtsev, V.,
Comparing Near-Coincident C- and X-Band SAR Acquisitions of Marine Oil Spills,
GeoRS(53), No. 4, April 2015, pp. 1958-1975.
IEEE DOI 1502
marine pollution BibRef

Suresh, G., Melsheimer, C., Korber, J.H., Bohrmann, G.,
Automatic Estimation of Oil Seep Locations in Synthetic Aperture Radar Images,
GeoRS(53), No. 8, August 2015, pp. 4218-4230.
IEEE DOI 1506
geophysical image processing BibRef

Yan, J.N.[Ji-Ning], Wang, L.[Lizhe], Chen, L.J.[La-Jiao], Zhao, L.J.[Ling-Jun], Huang, B.M.[Bo-Min],
A Dynamic Remote Sensing Data-Driven Approach for Oil Spill Simulation in the Sea,
RS(7), No. 6, 2015, pp. 7105.
DOI Link 1507
BibRef

Ramsey, E.[Elijah], Rangoonwala, A.[Amina], Jones, C.E.[Cathleen E.],
Structural Classification of Marshes with Polarimetric SAR Highlighting the Temporal Mapping of Marshes Exposed to Oil,
RS(7), No. 9, 2015, pp. 11295.
DOI Link 1511
BibRef

Zhang, H.[Hao], Mendoza-Sanchez, I., Miller, E.L., Abriola, L.M.,
Manifold Regression Framework for Characterizing Source Zone Architecture,
GeoRS(54), No. 1, January 2016, pp. 3-17.
IEEE DOI 1601
contaminated site remediation. Other contamination. BibRef

Konik, M., Bradtke, K.,
Object-oriented approach to oil spill detection using ENVISAT ASAR images,
PandRS(118), No. 1, 2016, pp. 37-52.
Elsevier DOI 1606
Remote sensing BibRef

Buono, A., Nunziata, F., Migliaccio, M., Li, X.,
Polarimetric Analysis of Compact-Polarimetry SAR Architectures for Sea Oil Slick Observation,
GeoRS(54), No. 10, October 2016, pp. 5862-5874.
IEEE DOI 1610
oil pollution BibRef

Mityagina, M.[Marina], Lavrova, O.[Olga],
Satellite Survey of Inner Seas: Oil Pollution in the Black and Caspian Seas,
RS(8), No. 10, 2016, pp. 875.
DOI Link 1609
BibRef

Otremba, Z.[Zbigniew],
Oil Droplet Clouds Suspended in the Sea: Can They Be Remotely Detected?,
RS(8), No. 10, 2016, pp. 857.
DOI Link 1609
BibRef

De Maio, A., Orlando, D., Pallotta, L., Clemente, C.,
A Multifamily GLRT for Oil Spill Detection,
GeoRS(55), No. 1, January 2017, pp. 63-79.
IEEE DOI 1701
marine pollution BibRef

Lacava, T.[Teodosio], Ciancia, E.[Emanuele], Coviello, I.[Irina], Di Polito, C.[Carmine], Grimaldi, C.S.L.[Caterina S. L.], Pergola, N.[Nicola], Satriano, V.[Valeria], Temimi, M.[Marouane], Zhao, J.[Jun], Tramutoli, V.[Valerio],
A MODIS-Based Robust Satellite Technique (RST) for Timely Detection of Oil Spilled Areas,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Khanna, S.[Shruti], Santos, M.J.[Maria J.], Koltunov, A.[Alexander], Shapiro, K.D.[Kristen D.], Lay, M.[Mui], Ustin, S.L.[Susan L.],
Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Mager, A.[Alexander], Wirkus, L.[Lars], Schoepfer, E.[Elisabeth],
Impact Assessment of Oil Exploitation in South Sudan using Multi-Temporal Landsat Imagery,
PFG(2016), No. 4, 2016, pp. 211-223.
DOI Link 1703
BibRef

Zhang, B., Li, X., Perrie, W., Garcia-Pineda, O.,
Compact Polarimetric Synthetic Aperture Radar for Marine Oil Platform and Slick Detection,
GeoRS(55), No. 3, March 2017, pp. 1407-1423.
IEEE DOI 1703
Image reconstruction BibRef

Chenault, D.B.[David B.], Vaden, J.P.[Justin P.], Mitchell, D.A.[Douglas A.], Demicco, E.D.[Erik D.],
New IR polarimeter for improved detection of oil on water,
SPIE(Newsroom), January 18, 2017
DOI Link 1703
Results from a series of tests in a large saltwater tank demonstrate that IR polarimetric images provide much better contrast between oil and water than conventional visible and thermal IR measurements. BibRef

Lupidi, A.[Alberto], Staglianò, D.[Daniele], Martorella, M.[Marco], Berizzi, F.[Fabrizio],
Fast Detection of Oil Spills and Ships Using SAR Images,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Angelliaume, S., Minchew, B., Chataing, S., Martineau, P., Miegebielle, V.,
Multifrequency Radar Imagery and Characterization of Hazardous and Noxious Substances at Sea,
GeoRS(55), No. 5, May 2017, pp. 3051-3066.
IEEE DOI 1705
oceanography, remote sensing by radar, seawater, water pollution, AD 2015 05, HNS monitoring, Mediterranean Sea, airborne radar sensor, collecting evidence, environmental chemical spills, hazardous-noxious substance, illegal maritime pollution, maritime traffic, multifrequency radar imagery, multifrequency radar system, normalized polarization difference parameter, noxious liquid substance, ocean surface, oil spills, radar remote sensing, sea surface, seawater, Chemicals, Monitoring, Oils, Radar imaging, Spaceborne radar, Synthetic aperture radar, Chemical, hazardous and noxious substance (HNS), multifrequency, normalized polarization difference (NPD), ocean, oil, oil and water mixing index, polarimetry, pollution, sea surface, slick, spill, synthetic, aperture, radar, (SAR) BibRef

Moreira Scafutto, R.D.[Rebecca Del'Papa], de Souza Filho, C.R.[Carlos Roberto], de Oliveira, W.J.[Wilson José],
Hyperspectral remote sensing detection of petroleum hydrocarbons in mixtures with mineral substrates: Implications for onshore exploration and monitoring,
PandRS(128), No. 1, 2017, pp. 146-157.
Elsevier DOI 1706
Hydrocarbons BibRef

Garcia-Pineda, O.[Oscar], Holmes, J.[Jamie], Rissing, M.[Matt], Jones, R.[Russell], Wobus, C.[Cameron], Svejkovsky, J.[Jan], Hess, M.[Mark],
Detection of Oil near Shorelines during the Deepwater Horizon Oil Spill Using Synthetic Aperture Radar (SAR),
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Mo, Y.[Yu], Kearney, M.S.[Michael S.], Riter, J.C.A.[J. C. Alexis],
Post-Deepwater Horizon Oil Spill Monitoring of Louisiana Salt Marshes Using Landsat Imagery,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Espeseth, M.M., Skrunes, S., Jones, C.E., Brekke, C., Holt, B., Doulgeris, A.P.,
Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR,
GeoRS(55), No. 7, July 2017, pp. 4190-4210.
IEEE DOI 1706
Feature extraction, Oils, Polarization, Sea surface, Synthetic aperture radar, Time series analysis, Hybrid polarity (HP), NORSE2015, oil spill observation, synthetic aperture radar (SAR), time series, uninhabited aerial vehicle synthetic aperture radar, (UAVSAR) BibRef

Firoozy, N., Neusitzer, T., Desmond, D.S., Tiede, T., Lemes, M.J.L., Landy, J., Mojabi, P., Rysgaard, S., Stern, G., Barber, D.G.,
An Electromagnetic Detection Case Study on Crude Oil Injection in a Young Sea Ice Environment,
GeoRS(55), No. 8, August 2017, pp. 4465-4475.
IEEE DOI 1708
Laser radar, Oils, Rough surfaces, Sea ice, Sea surface, Surface roughness, Surface topography, Arctic, crude oil, electromagnetic, scattering, remote, sensing BibRef

Song, D.M.[Dong-Mei], Ding, Y.X.[Ya-Xiong], Li, X.F.[Xiao-Feng], Zhang, B.[Biao], Xu, M.Y.[Ming-Yu],
Ocean Oil Spill Classification with RADARSAT-2 SAR Based on an Optimized Wavelet Neural Network,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Chen, T., Lu, S.,
Subcategory-Aware Feature Selection and SVM Optimization for Automatic Aerial Image-Based Oil Spill Inspection,
GeoRS(55), No. 9, September 2017, pp. 5264-5273.
IEEE DOI 1709
coastal ecosystem, marine ecosystem, synthetic aperture radar BibRef


Dubucq, D.[Dominique], Sicot, G.[Guillaume], Lennon, M.[Marc], Miegebielle, V.[Véronique],
Detection And Discrimination Of The Thick Oil Patches On The Sea Surface,
ISPRS16(B8: 417-421).
DOI Link 1610
BibRef

Harahsheh, H.A.,
Oil Spill Detection And Monitoring Of Abu Dhabi Coastal Zone Using Kompsat-5 Sar Imagery,
ISPRS16(B8: 1115-1121).
DOI Link 1610
BibRef

Schvartzman, I., Havivi, S., Maman, S., Rotman, S.R., Blumberg, D.G.,
Large Oil Spill Classification Using Sar Images Based On Spatial Histogram,
ISPRS16(B8: 1183-1186).
DOI Link 1610
BibRef

Sicot, G., Lennon, M., Miegebielle, V., Dubucq, D.,
Estimation of the Thickness and Emulsion Rate of Oil Spilled at Sea Using Hyperspectral Remote Sensing Imagery in the SWIR Domain,
GeoHyper15(445-450).
DOI Link 1602
BibRef

Wang, Z.H.[Zhi-Hua], Zhong, H.Y.[Hui-Ying], Li, Y.Q.[Yi-Qiang], Zhu-Ge, X.L.[Xiang-Long],
The Application of Signal Collection and Disposal Technology in Measuring the Front of Oil and Water with Polymer Flooding,
CISP09(1-4).
IEEE DOI 0910
BibRef

Xu, L.L.[Lin-Lin], Shafiee, M.J.[M.Javad], Wong, A.[Alexander], Li, F.[Fan], Wang, L.[Lei], Clausi, D.[David],
Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model,
EarthObserv15(79-86)
IEEE DOI 1510
Nickel; Noise; Radar; Speckle BibRef

Martinis, S.,
Automatic oil spill detection in TerraSAR-X data using multi-contextual Markov modeling on irregular graphs,
IPTA12(43-46)
IEEE DOI 1503
Markov processes BibRef

Osmanoglu, B., Ozkan, C., Sunar, F.,
Comparison of Semi-Automatic and Automatic Slick Detection Algorithms For Jiyeh Power Station Oil Spill, Lebanon,
SSG13(189-193).
DOI Link 1402
BibRef

Matkan, A.A., Hajeb, M., Azarakhsh, Z.,
Oil spill detection from SAR image using SVM based classification,
SMPR13(55-60).
HTML Version. 1311
BibRef

Osmanoglu, B., Özkan, C., Sunar, F., Staples, G.,
Automatic Calculation of Oil Slick Area from Multiple SAR Acquisitions for Deepwater Horizon Oil Spill,
ISPRS12(XXXIX-B7:63-66).
DOI Link 1209
BibRef

Ozkan, C., Osmanoglu, B., Sunar, F., Staples, G., Kalkan, K., Balik Sanli, F.,
Testing The Generalization Efficiency Of Oil Slick Classification Algorithm Using Multiple Sar Data For Deepwater Horizon Oil Spill,
ISPRS12(XXXIX-B7:67-72).
DOI Link 1209
BibRef

Assilzadeh, H.[Hamid], Zhong, Z.[Zhinong], Liu, T.[Tim], Gao, Y.[Yang],
Development of an even-driven and scalable oil spill monitoring and management system,
CGC10(16).
PDF File. 1006
BibRef

Pelizzari, S.[Sónia], Bioucas-Dias, J.M.[José M.],
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts,
IbPRIA07(II: 637-644).
Springer DOI 0706
BibRef

Pourvakhshouri, S.Z., Shattri, B.M., Zelina, Z.I., Noordin, A.,
Decision Support System in Oil Spill Management,
IfromI06(xx-yy).
PDF File. 0607
BibRef

Hese, S., Schmullius, C.,
Object oriented oil spill contamination mapping in West Siberia with Quickbird data,
OBIA06(xx-yy).
PDF File. 0607
BibRef

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Last update:Sep 25, 2017 at 16:36:46