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Automatic identification of oil spills on satellite images

Iphigenia Keramitsoglou, Constantinos Cartalis, Chris T. Kiranoudis
2006 Environmental Modelling & Software  
A fully automated system for the identification of possible oil spills present on Synthetic Aperture Radar (SAR) satellite images based on artificial intelligence fuzzy logic has been developed.  ...  The system analyzes the satellite images and assigns the probability of a dark image shape to be an oil spill.  ...  Del Frate et al. (2000) also used neural network architecture for semi-automatic detection of oil spills on SAR images using a set of features characterizing a candidate oil spill as input vector.  ... 
doi:10.1016/j.envsoft.2004.11.010 fatcat:vz3ockuk2fctxoza2uakxvihle

Satellite oil spill detection and monitoring in the optical range

C.S.L. Grimaldi, D. Casciello, I. Coviello, T. Lacava, N. Pergola, V. Tramutoli
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
(Fig.1b) , while analyzing one image of "Persian Gulf War" oil spill occurred in 1991.  ...  Up to now, some techniques have been proposed for oil spill monitoring using satellite data acquired in the optical band [4]- [9] but, on the other hand, reliable satellite methods for automatic detection  ... 
doi:10.1109/igarss.2010.5651967 dblp:conf/igarss/GrimaldiCCLPT10 fatcat:l3o3t7uw7bcg3lbseb2yz776ui

COSMO-SkyMed contribution in oil spill monitoring of the Mediterranean Sea

F. Nirchio, G. Pandiscia, G. Ruggieri, R. Santoleri, F. Tataranni, A. Giancaspro, P. Trivero, N. Pinardi, A. Masini, C. Castellani
2009 2009 IEEE International Geoscience and Remote Sensing Symposium  
High resolution Cosmo-SkyMed SAR images are used for oil spill detection and ship identification on the Mediterranean Sea, in the framework of PRIMI Pilot Project currently developed by Italian Space Agency  ...  The system consists of four components, two of them devoted to the analysis of the SAR and Optical satellites images for the slicks detection, an oil spill forecast subsystem and a central archive that  ...  Oil spill detection is based on optical and geometrical proprieties of oil in the water.  ... 
doi:10.1109/igarss.2009.5418209 dblp:conf/igarss/NirchioPRSTITPMC09 fatcat:c7dyi42wfbe7lfm3lsqq24utia


Zbigniew Otremba
2015 Journal of KONES Powertrain and Transport  
EMSA has developed the CleanSeaNet service -a satellite based monitoring system for marine oil spill detection. Advantages and limitations of the SAR-methods are discussed in this study.  ...  The surface of the whole world is observed independently on the time of day and weather by antennas of Synthetic Aperture Radars (SAR) of dozen military satellites with resolution of several meters.  ...  service based on Automatic Identification System (AIS) [9] .  ... 
doi:10.5604/12314005.1138229 fatcat:2wr7mp4dqrhpjffpaw62mcj67y

Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment

Shamsudeen Temitope Yekeen, Abdul-Lateef Balogun
2020 Remote Sensing  
Although advancements in remote sensing technology have facilitated quick capture and identification of the source and location of oil spills in water bodies, the presence of other biogenic elements (lookalikes  ...  Statistical image segmentation has been widely used to discriminate lookalikes from oil spills with varying levels of accuracy but the emergence of digitalization technologies in the fourth industrial  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12203416 fatcat:a6geo654jfbhfo3dk6irsojnji

A System for Automatic Identification of Oil Spill in ENVISAT ASAR Images

Wei Tian, Yun Shao, Shiang Wang
2008 IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  
An automatic oil spill identification system was introduced in this paper. It was designed to work independently to detect oil spills in ENVISAT ASAR level 1b images (of WS, IMP and APP mode).  ...  The system works well for its accuracy of 85% in discriminating between oil spills and look-alikes in the case of 60 scenes of examined images.  ...  An effective monitoring and identification of polluted oil spill on the sea surface is operationally required.  ... 
doi:10.1109/igarss.2008.4779621 dblp:conf/igarss/Tian0W08 fatcat:ylhtd57p7bhylnr35jd37z5l2u

A deep neural network for oil spill semantic segmentation in SAR images

Georgios Orfanidis, Konstantinos Ioannidis, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Kompatsiaris
2018 Zenodo  
Oil spills pose a major threat of the oceanic and coastal environments, hence, an automatic detection and a continuous monitoring system comprises an appealing option for minimizing the response time of  ...  The deployed CNN was trained using multiple SAR images acquired from the sentinel-1 satellite provided by ESA and based on EMSA records for maritime pollution events.  ...  RELATED WORK One of the first attempts for oil spill detection was relied on the use of visible spectrum images.  ... 
doi:10.5281/zenodo.3497132 fatcat:oxnuf2o5gndorhxcz4jpxz4wd4

An improved RST approach for timely alert and Near Real Time monitoring of oil spill disasters by using AVHRR data

C. S. L. Grimaldi, D. Casciello, I. Coviello, T. Lacava, N. Pergola, V. Tramutoli
2011 Natural Hazards and Earth System Sciences  
The results obtained, even in comparison with those achieved by other AVHRR-based techniques, confirm the unique performance of the proposed approach in automatically detecting the presence of oil spill  ...  In this paper, the results achieved by the application of an improved version of RST (Robust Satellite Technique) to oil spill detection and monitoring will be shown.  ...  (b) Identification for sure of the presence of an oil spill in the area by using RETIRA box index on the AVHRR image (TIR channel 5) collected on 24 July 2006 at 10:31 GMT (12:31 LT): oil spill affected  ... 
doi:10.5194/nhess-11-1281-2011 fatcat:u7loptexofayvaxog2yeqgirym

Oil spill detection by satellite remote sensing

Camilla Brekke, Anne H.S. Solberg
2005 Remote Sensing of Environment  
In particular, we concentrate on the use of manual and automatic approaches to discriminate between oil slicks and look-alikes based on pattern recognition.  ...  This paper presents the state of the art for oil spill detection in the world oceans. We discuss different satellite sensors and oil spill detectability under varying conditions.  ...  Acknowledgements This work is performed as a part of a PhD study funded by the Norwegian Research Council and the Norwegian Defence Research Establishment. The authors would like to  ... 
doi:10.1016/j.rse.2004.11.015 fatcat:udwlstblazcarjiplyuksxtjdq

Oil Pollution in the Southeastern Baltic Sea by Satellite Remote Sensing Data in 2004-2015

Elena V. Bulycheva, Aleksander V. Krek, Andrey G. Kostianoy, Aleksander V. Semenov, Aleksandar Joksimovich
2016 Transport and Telecommunication  
Maximum of oil spills is observed in the spring and summer, which is probably due to favorable weather conditions for the detection of oil spills on radar images.  ...  The results of satellite monitoring of oil pollution in the Southeastern Baltic Sea in 2004-2015 are discussed in the paper. Interannual and seasonal variability of oil pollution is investigated.  ...  Acknowledgements The authors would like to thank LUKOIL-KMN, Ltd. for providing of satellite radar imagery.  ... 
doi:10.1515/ttj-2016-0015 fatcat:r6zquwfeundora7wouycrv6nku

Automatic Mexico Gulf Oil Spill Detection from Radarsat-2 SAR Satellite Data Using Genetic Algorithm

Maged Marghany
2016 Acta Geophysica  
Consequently, the highly accurate detectability of oil with SAR is exposed to the identification of oil spill parameters.  ...  Previous studies were concerned with automatic detection of oil spilling from SAR images, which is based on the dark spot feature extraction and classification using Artificial Neural Networks (ANN) (  ... 
doi:10.1515/acgeo-2016-0047 fatcat:grvkhwieeva6baj4u5ldv5xxqq

An Interative Grahical User Interface for Maritime Security Services

T. Reize, R. Müller, R. Kiefl
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The objects length, width, heading and position are calculated automatically from three clicks on top, bottom and an arbitrary point at one of the object's longer side.  ...  In order to analyse optical satellite images for maritime security issues in Near-Real-Time (NRT) an interactive graphical user interface (GUI) based on NASA World Wind was developed and is presented in  ...  By way of example, oil spills contain the sub-categories: large oil spill at open shore, large oil spill in open water and vessel grounding.  ... 
doi:10.5194/isprsarchives-xl-7-w2-201-2013 fatcat:vnr7iy73srgx3fmptqxmlk6k5m

On the SAR derived alert in the detection of oil spills according to the analysis of the EGEMP

Guido Ferraro, Björn Baschek, Geraldine de Montpellier, Ove Njoten, Marko Perkovic, Michele Vespe
2010 Marine Pollution Bulletin  
Satellite services that deliver information about possible oil spills at sea currently use different labels of "confidence" to describe the detections based on radar image processing.  ...  There is an ongoing discussion on the suitability of the existing classification systems of possible oil spills detected by radar satellite images with regard to the relevant significance and correspondence  ...  that an observed dark feature in the satellite image is caused by an oil spill.  ... 
doi:10.1016/j.marpolbul.2009.08.025 pmid:19775709 fatcat:aeo43poytna7tmittgasxj4n3i

Oil Spill Identification from SAR Images for Low Power Embedded Systems Using CNN

Lorenzo Diana, Jia Xu, Luca Fanucci
2021 Remote Sensing  
ground and processed on ground can be substantially reduced, which will be greatly beneficial in significantly reducing the amount of time needed for identification of oil spills from SAR images.  ...  Oil spills represent one of the major threats to marine ecosystems.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13183606 fatcat:qjeyksthubdehkbguhyjf2r5be

Oil Spill Map for Indian Sea Region based on Bhuvan- Geographic Information System using Satellite Images

L. J. Vijaya kumar, J. K. Kishore, P. Kesava Rao, M. Annadurai, C. B. S. Dutt, K. Hanumantha Rao, S. K. Sasamal, M. Arulraj, A. V. V. Prasad, E. V. S. Sita Kumari, S. N. Satyanarayana, H. P. Shenoy
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Recent use of Polarimetric SAR imagery in near real time oil spill detection systems is associated with attempts towards automatic and unambiguous oil spill detection based on decomposition methods.  ...  The availability of RISAT-1 SAR images enhances the scope to monitor oil spills and develop GIS on Bhuvan which can be accessed by all the users, such as ships, coast guard, environmentalists etc., The  ...  Jagadeesha RRSC-B, Hebbar RRSC-B and Kishore Passi of ISAC, for their technical support.  ... 
doi:10.5194/isprsarchives-xl-8-1085-2014 fatcat:vb7rsuktuvggrcgdz5f27zx56i
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