Schwegmann, Colin PKleynhans, WaldoSalmon, BPMdakane, Lizwe WMeyer, Rory GV2017-05-172017-05-172016-07Schwegmann, 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: 2153-7003DOI: 10.1109/IGARSS.2016.7730800http://ieeexplore.ieee.org/document/7730800/http://hdl.handle.net/10204/9082International 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.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.enSynthetic aperture radarObject detectionMarine technologiesConference PresentationSchwegmann, 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/10204/9082Schwegmann, 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/10204/9082Schwegmann 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 .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 -