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Ships as salient objects in synthetic aperture radar imaginary

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dc.contributor.author Schwegmann, Colin P
dc.contributor.author Kleynhans, Waldo
dc.contributor.author Salmon, BP
dc.contributor.author Mdakane, Lizwe W
dc.contributor.author Meyer, Rory GV
dc.date.accessioned 2017-05-17T06:47:21Z
dc.date.available 2017-05-17T06:47:21Z
dc.date.issued 2016-07
dc.identifier.citation Schwegmann, C.P., Kleynhans, W., Salmon, B.P., Mdakane, L.W. and Meyer, R.G.V. 2016. Ships as salient objects in synthetic aperture radar imaginary. International Geoscience and Remote Sensing Symposium (IEEE IGARSS), 10-15 July 2016, Beijing, China. DOI: 10.1109/IGARSS.2016.7730800 en_US
dc.identifier.issn : 2153-7003
dc.identifier.issn DOI: 10.1109/IGARSS.2016.7730800
dc.identifier.uri http://ieeexplore.ieee.org/document/7730800/
dc.identifier.uri http://hdl.handle.net/10204/9082
dc.description International Geoscience and Remote Sensing Symposium (IEEE IGARSS), 10-15 July 2016, Beijing, China. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. en_US
dc.description.abstract The widespread access to Synthetic Aperture Radar data has created a need for more precise ship extraction, specifically in low-to-medium resolution imagery. While Synthetic Aperture Radar pixel resolution is improving for a large swaths, information about ships from within the Synthetic Aperture Radar intensity imagery is still sparse. Ships that are a few pixels across provide little information for classification and even less when improperly extracted. This paper presents a novel perspective on ships in Synthetic Aperture Radar imagery by viewing them as visually salient objects. The paper introduces common methods of ship object extraction and demonstrates how salient object mapping can improve the accuracy of extracted ships in Synthetic Aperture Radar imagery, providing better representation of ship objects. The Frequency-tuned and Spectral Residual Saliency Maps methods were tested against a unique dataset with ground truth information and were shown to have the best performance amongst all the conventional methods tested using six performance metrics. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;17913
dc.subject Synthetic aperture radar en_US
dc.subject Object detection en_US
dc.subject Marine technologies en_US
dc.title Ships as salient objects in synthetic aperture radar imaginary en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Schwegmann, C. P., Kleynhans, W., Salmon, B., Mdakane, L. W., & Meyer, R. G. (2016). Ships as salient objects in synthetic aperture radar imaginary. IEEE. http://hdl.handle.net/10204/9082 en_ZA
dc.identifier.chicagocitation Schwegmann, Colin P, Waldo Kleynhans, BP Salmon, Lizwe W Mdakane, and Rory GV Meyer. "Ships as salient objects in synthetic aperture radar imaginary." (2016): http://hdl.handle.net/10204/9082 en_ZA
dc.identifier.vancouvercitation Schwegmann CP, Kleynhans W, Salmon B, Mdakane LW, Meyer RG, Ships as salient objects in synthetic aperture radar imaginary; IEEE; 2016. http://hdl.handle.net/10204/9082 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Schwegmann, Colin P AU - Kleynhans, Waldo AU - Salmon, BP AU - Mdakane, Lizwe W AU - Meyer, Rory GV AB - The widespread access to Synthetic Aperture Radar data has created a need for more precise ship extraction, specifically in low-to-medium resolution imagery. While Synthetic Aperture Radar pixel resolution is improving for a large swaths, information about ships from within the Synthetic Aperture Radar intensity imagery is still sparse. Ships that are a few pixels across provide little information for classification and even less when improperly extracted. This paper presents a novel perspective on ships in Synthetic Aperture Radar imagery by viewing them as visually salient objects. The paper introduces common methods of ship object extraction and demonstrates how salient object mapping can improve the accuracy of extracted ships in Synthetic Aperture Radar imagery, providing better representation of ship objects. The Frequency-tuned and Spectral Residual Saliency Maps methods were tested against a unique dataset with ground truth information and were shown to have the best performance amongst all the conventional methods tested using six performance metrics. DA - 2016-07 DB - ResearchSpace DP - CSIR KW - Synthetic aperture radar KW - Object detection KW - Marine technologies LK - https://researchspace.csir.co.za PY - 2016 SM - : 2153-7003 SM - DOI: 10.1109/IGARSS.2016.7730800 T1 - Ships as salient objects in synthetic aperture radar imaginary TI - Ships as salient objects in synthetic aperture radar imaginary UR - http://hdl.handle.net/10204/9082 ER - en_ZA


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