An automatic approach to detect bilge dumping in synthetic aperture radar (SAR) images over Southern African oceans is proposed. The approach uses a threshold-based algorithm and a region-based active contour model (ACM) algorithm to achieve an efficient bilge dump detection tool. A threshold method was used to detect areas with a high bilge dump probability while the ACM method is used to get closed contours of potential bilge dumps. A discrimination step was implemented to detect linear features as potential bilge dump events. The automated approach was investigated using SENTINEL-1A and ENVISAT Advanced Synthetic Aperture Radar (ASAR) where the proposed approach showed promising results.
Reference:
Mdakane, L.W., Kleynhans, W. and Schwegmann, C.P. 2016. Using an active contour method to detect bilge dumps from SAR imagery. 2016 IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July, Beijing, China. DOI: 10.1109/IGARSS.2016.7730308
Mdakane, L. W., Kleynhans, W., & Schwegmann, C. P. (2016). Using an active contour method to detect bilge dumps from SAR imagery. IEEE. http://hdl.handle.net/10204/9095
Mdakane, Lizwe W, Waldo Kleynhans, and Colin P Schwegmann. "Using an active contour method to detect bilge dumps from SAR imagery." (2016): http://hdl.handle.net/10204/9095
Mdakane LW, Kleynhans W, Schwegmann CP, Using an active contour method to detect bilge dumps from SAR imagery; IEEE; 2016. http://hdl.handle.net/10204/9095 .
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