dc.contributor.author |
Mdakane, Lizwe W
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dc.contributor.author |
Kleynhans, Waldo
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dc.contributor.author |
Schwegmann, Colin P
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dc.date.accessioned |
2017-05-17T07:28:08Z |
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dc.date.available |
2017-05-17T07:28:08Z |
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dc.date.issued |
2016-07 |
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dc.identifier.citation |
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 |
en_US |
dc.identifier.issn |
2153-7003 |
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dc.identifier.uri |
http://ieeexplore.ieee.org/document/7730308/
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dc.identifier.uri |
DOI: 10.1109/IGARSS.2016.7730308
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dc.identifier.uri |
http://hdl.handle.net/10204/9095
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dc.description |
Copyright: IEEE. 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 website. |
en_US |
dc.description.abstract |
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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;18061 |
|
dc.subject |
Bilge dumping |
en_US |
dc.subject |
Synthetic aperture radar |
en_US |
dc.subject |
SAR |
en_US |
dc.subject |
Remote Sensing |
en_US |
dc.title |
Using an active contour method to detect bilge dumps from SAR imagery |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
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 |
en_ZA |
dc.identifier.chicagocitation |
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 |
en_ZA |
dc.identifier.vancouvercitation |
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 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Mdakane, Lizwe W
AU - Kleynhans, Waldo
AU - Schwegmann, Colin P
AB - 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.
DA - 2016-07
DB - ResearchSpace
DP - CSIR
KW - Bilge dumping
KW - Synthetic aperture radar
KW - SAR
KW - Remote Sensing
LK - https://researchspace.csir.co.za
PY - 2016
SM - 2153-7003
T1 - Using an active contour method to detect bilge dumps from SAR imagery
TI - Using an active contour method to detect bilge dumps from SAR imagery
UR - http://hdl.handle.net/10204/9095
ER -
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en_ZA |