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Ship detection in Sentinel-1 imagery using the h-dome transformation

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dc.contributor.author Schwegmann, CP
dc.contributor.author Kleynhans, W
dc.contributor.author Salmon, BP
dc.contributor.author Mdakane, L
dc.date.accessioned 2016-04-14T13:14:00Z
dc.date.available 2016-04-14T13:14:00Z
dc.date.issued 2015-07
dc.identifier.citation Schwegmann, CP, Kleynhans, W, Salmon, BP and Mdakane, L. 2015. Ship detection in Sentinel-1 imagery using the h-dome transformation. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July 2015 en_US
dc.identifier.issn 2153-6996
dc.identifier.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7326629
dc.identifier.uri http://hdl.handle.net/10204/8473
dc.description 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July 2015 en_US
dc.description.abstract The ability to reliably detect ships within the ocean is one of the core capabilities of Maritime Domain Awareness. Constant improvements are pursued in both computational speed and reliable responses to events by exploring new ship detection methods. One such improvement is the availability of Sentinel-1 imagery. Owing to the fact that ships are considered locally bright objects, we propose using the H-dome transform to process the SAR image and improve ship detectability. The method was tested against two Sentinel-1 images in both HH and HV polarizations containing 82 ships. The method improved the false alarm rates when compared to the conventional cell-averaging Constant False Alarm Rate method at a minor reduction in detection accuracy. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Workflow;15571
dc.subject Marine technology en_US
dc.subject Synthetic aperture radar en_US
dc.subject SAR en_US
dc.subject Image processing en_US
dc.title Ship detection in Sentinel-1 imagery using the h-dome transformation en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Schwegmann, C., Kleynhans, W., Salmon, B., & Mdakane, L. (2015). Ship detection in Sentinel-1 imagery using the h-dome transformation. IEEE. http://hdl.handle.net/10204/8473 en_ZA
dc.identifier.chicagocitation Schwegmann, CP, W Kleynhans, BP Salmon, and L Mdakane. "Ship detection in Sentinel-1 imagery using the h-dome transformation." (2015): http://hdl.handle.net/10204/8473 en_ZA
dc.identifier.vancouvercitation Schwegmann C, Kleynhans W, Salmon B, Mdakane L, Ship detection in Sentinel-1 imagery using the h-dome transformation; IEEE; 2015. http://hdl.handle.net/10204/8473 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Schwegmann, CP AU - Kleynhans, W AU - Salmon, BP AU - Mdakane, L AB - The ability to reliably detect ships within the ocean is one of the core capabilities of Maritime Domain Awareness. Constant improvements are pursued in both computational speed and reliable responses to events by exploring new ship detection methods. One such improvement is the availability of Sentinel-1 imagery. Owing to the fact that ships are considered locally bright objects, we propose using the H-dome transform to process the SAR image and improve ship detectability. The method was tested against two Sentinel-1 images in both HH and HV polarizations containing 82 ships. The method improved the false alarm rates when compared to the conventional cell-averaging Constant False Alarm Rate method at a minor reduction in detection accuracy. DA - 2015-07 DB - ResearchSpace DP - CSIR KW - Marine technology KW - Synthetic aperture radar KW - SAR KW - Image processing LK - https://researchspace.csir.co.za PY - 2015 SM - 2153-6996 T1 - Ship detection in Sentinel-1 imagery using the h-dome transformation TI - Ship detection in Sentinel-1 imagery using the h-dome transformation UR - http://hdl.handle.net/10204/8473 ER - en_ZA


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