Schwegmann, CPKleynhans, WSalmon, BP2015-03-122015-03-122014-07Schwegmann, C.P, Kleynhans, W and Salmon, B.P. 2014. Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier. In: 2014 IEEE Internatonal Geoscience and Remote Sensing Symposium (IGARSS), Quebec Canada, 13-18 July 2014http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6946483http://hdl.handle.net/10204/79322014 IEEE Internatonal Geoscience and Remote Sensing Symposium (IGARSS), Quebec Canada, 13-18 July 2014Synthetic Aperture Radar images is a proven technology that can be used to detect ships at sea which have no active transponders (commonly referred to as dark targets). Various methods have been proposed that process SAR images to monitor these targets. In this paper, we propose a novel ship detection method for Advanced Synthetic Aperture Radar imagery that combines a Constant False Alarm Rate ship pre-screening method with a Haar-like feature cascade classifier. Experimental results indicate that this configuration provides a ship detection accuracy above 88% and half the False Alarm Rate of the traditional Constant False Alarm Rate method.enSynthetic Aperture RadarHaar-like feature cascade classifierSouth African coastal watersConference PresentationSchwegmann, C., Kleynhans, W., & Salmon, B. (2014). Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier. IEEE. http://hdl.handle.net/10204/7932Schwegmann, CP, W Kleynhans, and BP Salmon. "Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier." (2014): http://hdl.handle.net/10204/7932Schwegmann C, Kleynhans W, Salmon B, Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier; IEEE; 2014. http://hdl.handle.net/10204/7932 .TY - Conference Presentation AU - Schwegmann, CP AU - Kleynhans, W AU - Salmon, BP AB - Synthetic Aperture Radar images is a proven technology that can be used to detect ships at sea which have no active transponders (commonly referred to as dark targets). Various methods have been proposed that process SAR images to monitor these targets. In this paper, we propose a novel ship detection method for Advanced Synthetic Aperture Radar imagery that combines a Constant False Alarm Rate ship pre-screening method with a Haar-like feature cascade classifier. Experimental results indicate that this configuration provides a ship detection accuracy above 88% and half the False Alarm Rate of the traditional Constant False Alarm Rate method. DA - 2014-07 DB - ResearchSpace DP - CSIR KW - Synthetic Aperture Radar KW - Haar-like feature cascade classifier KW - South African coastal waters LK - https://researchspace.csir.co.za PY - 2014 T1 - Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier TI - Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier UR - http://hdl.handle.net/10204/7932 ER -