Mdakane, Lizwe WMeyer, Rory GVSibolla, Bolelang H2021-01-172021-01-172020-08Mdakane, L.W., Meyer, R.G.V. & Sibolla, B.H. 2020. Bilge dump automatic alert system in southern Africa oceans. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B1-2020, 2020 XXIV ISPRS Congress, (2020 edition), Virtual Conference, 31 August - 2 September 2020https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/627/2020/doi.org/10.5194/isprs-archives-XLIII-B1-2020-627-2020https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/index.htmlhttp://hdl.handle.net/10204/11717Copyright 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.Oil spill over the sea surface formed because of oil-tanker accidents or illegal bilge dumping of tankers can cause significant environmental damage depending on the location and amount. The international legislation contains minor and well-defined exceptions related to ocean areas (internal waters, marine protected areas, MARPOL “special” areas, territorial seas or exclusive economic zones). These areas often determine whether or not an action is considered legal/illegal and define the rights and obligations, including law enforcement obligations. Deliberated oil spill are often caused by vessels illegally discharging oily waste during cleaning operations. To minimise the ecological impact caused by the oil spill, a rapid response from the authorities is required. To facilitate the quick response, we propose an automated bilge dump alert system based on space-borne SAR analysis over Southern Africa oceans. The proposed alert system detects potential bilge dumps and classifies them according to confidence and alert levels. The confidence levels described the quality of the detected bilge dump, based on the probability measures of the observed bilge candidates. The alert levels described the enormity of the alert based on the detection location and confidence level. The system showed promising results in classifying bilge dumps according to the alert level.enBilge waste dumpingOil spillsOceansImage classificationSynthetic aperture radarConference PresentationMdakane, L. W., Meyer, R. G., & Sibolla, B. H. (2020). Bilge dump automatic alert system in southern Africa oceans. http://hdl.handle.net/10204/11717Mdakane, Lizwe W, Rory GV Meyer, and Bolelang H Sibolla. "Bilge dump automatic alert system in southern Africa oceans." (2020): http://hdl.handle.net/10204/11717Mdakane LW, Meyer RG, Sibolla BH, Bilge dump automatic alert system in southern Africa oceans; 2020. http://hdl.handle.net/10204/11717 .TY - Conference Presentation AU - Mdakane, Lizwe W AU - Meyer, Rory GV AU - Sibolla, Bolelang H AB - Oil spill over the sea surface formed because of oil-tanker accidents or illegal bilge dumping of tankers can cause significant environmental damage depending on the location and amount. The international legislation contains minor and well-defined exceptions related to ocean areas (internal waters, marine protected areas, MARPOL “special” areas, territorial seas or exclusive economic zones). These areas often determine whether or not an action is considered legal/illegal and define the rights and obligations, including law enforcement obligations. Deliberated oil spill are often caused by vessels illegally discharging oily waste during cleaning operations. To minimise the ecological impact caused by the oil spill, a rapid response from the authorities is required. To facilitate the quick response, we propose an automated bilge dump alert system based on space-borne SAR analysis over Southern Africa oceans. The proposed alert system detects potential bilge dumps and classifies them according to confidence and alert levels. The confidence levels described the quality of the detected bilge dump, based on the probability measures of the observed bilge candidates. The alert levels described the enormity of the alert based on the detection location and confidence level. The system showed promising results in classifying bilge dumps according to the alert level. DA - 2020-08 DB - ResearchSpace DP - CSIR KW - Bilge waste dumping KW - Oil spills KW - Oceans KW - Image classification KW - Synthetic aperture radar LK - https://researchspace.csir.co.za PY - 2020 T1 - Bilge dump automatic alert system in southern Africa oceans TI - Bilge dump automatic alert system in southern Africa oceans UR - http://hdl.handle.net/10204/11717 ER -