Mdakane, LWKleynhans, WSchwegmann, CP2016-04-142016-04-142015-07Mdakane, LW, Kleynhans, W and Schwegmann, CP. 2015. Bilge dump detection from SAR imagery using local binary patterns. In: IGARSS 2015: Remote Sensing: Understanding the Earth for a Safer World, Milan, Italy, 26-31 July 20152153-6996http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7325774&tag=1http://hdl.handle.net/10204/8489IGARSS 2015: Remote Sensing: Understanding the Earth for a Safer World, Milan, Italy, 26-31 July 2015. 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 websiteAccidental or deliberate bilge dumping presents a major threat to the sea ecosystem. We present a semi automatic approach to detect bilge dumping in synthetic aperture radar (SAR) images. The approach consist of three main parts. Firstly, areas with high probability of being bilge dumps are detected using Local Binary Patterns (LBP) with an adaptive threshold. Secondly, features are extracted from the detected dark spots and lastly, the features are analysed using bilge dump database to discriminate dark spot as bilge or not bilge. The automated approach was investigated on nine visually inspected images of SENTINEL 1A and ENVISAT Advanced Synthetic Aperture Radar (ASAR) images. The performance was measured by comparing the number of detected bilge dumps using the automated approach with the visually detected database. The automated detection approach showed to be a good alternative of the labour intensive manual inspection of bilge dumps, particularly for large ocean area monitoring.enLocal binary patternsBilge waste dumpingSynthetic aperture radarSARConference PresentationMdakane, L., Kleynhans, W., & Schwegmann, C. (2015). Bilge dump detection from SAR imagery using local binary patterns. IEEE. http://hdl.handle.net/10204/8489Mdakane, LW, W Kleynhans, and CP Schwegmann. "Bilge dump detection from SAR imagery using local binary patterns." (2015): http://hdl.handle.net/10204/8489Mdakane L, Kleynhans W, Schwegmann C, Bilge dump detection from SAR imagery using local binary patterns; IEEE; 2015. http://hdl.handle.net/10204/8489 .TY - Conference Presentation AU - Mdakane, LW AU - Kleynhans, W AU - Schwegmann, CP AB - Accidental or deliberate bilge dumping presents a major threat to the sea ecosystem. We present a semi automatic approach to detect bilge dumping in synthetic aperture radar (SAR) images. The approach consist of three main parts. Firstly, areas with high probability of being bilge dumps are detected using Local Binary Patterns (LBP) with an adaptive threshold. Secondly, features are extracted from the detected dark spots and lastly, the features are analysed using bilge dump database to discriminate dark spot as bilge or not bilge. The automated approach was investigated on nine visually inspected images of SENTINEL 1A and ENVISAT Advanced Synthetic Aperture Radar (ASAR) images. The performance was measured by comparing the number of detected bilge dumps using the automated approach with the visually detected database. The automated detection approach showed to be a good alternative of the labour intensive manual inspection of bilge dumps, particularly for large ocean area monitoring. DA - 2015-07 DB - ResearchSpace DP - CSIR KW - Local binary patterns KW - Bilge waste dumping KW - Synthetic aperture radar KW - SAR LK - https://researchspace.csir.co.za PY - 2015 SM - 2153-6996 T1 - Bilge dump detection from SAR imagery using local binary patterns TI - Bilge dump detection from SAR imagery using local binary patterns UR - http://hdl.handle.net/10204/8489 ER -