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Browsing by Author "Mdakane, Lizwe W"

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Bilge dump automatic alert system in southern Africa oceans

Author: Mdakane, Lizwe W ; Meyer, Rory GV ; Sibolla, Bolelang H Date: Aug 2020 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 ... Read more
Exploring the potential of open-data for oceans monitoring with AI analytics

Author: Mdakane, Lizwe W ; Sibolla, Bolelang H ; Haupt, Shelley A Date: Sep 2023 Monitoring vessel activity in the ocean plays an essential role in ensuring maritime safety, environmental monitoring, and fisheries management. This article explores the importance of vessel tracking and investigates the potential of using ... Read more
Feature selection and classification of oil spill from vessels using Sentinel-1 wide–swath synthetic aperture radar data

Author: Mdakane, Lizwe W ; Kleynhans, W Date: Oct 2020 Oil spills are often caused by vessels when dumping oily bilge wastewater at sea (also referred to as bilge dumping). In an synthetic aperture radar (SAR) image, oil spills dampen the radar energy return and appear as linearly shaped dark ... Read more
Image segmentation-based oil slick detection using SAR Radarsat-2 OSVN maritime data

Author: Mdakane, Lizwe W ; Kleynhans, Waldo ; Schwegmann, Colin P ; Meyer, Rory GV Date: Jul 2017 Oil spills present a major threat to the sea ecosystem and thus need to be monitored on a regular basis. Synthetic Aperture Radar (SAR) data is well known for ocean monitoring capabilities. SENTINEL 1 (SEN1) extra wide (EW) mode data and ... Read more
An image-segmentation-based framework to detect oil slicks from moving vessels in the Southern African oceans using SAR imagery

Author: Mdakane, Lizwe W ; Kleynhans, Waldo Date: Jun 2017 Oil slick events caused due to bilge leakage/dumps from ships and from other anthropogenic sources pose a threat to the aquatic ecosystem and need to be monitored on a regular basis. An automatic image-segmentation-based framework to detect ... Read more
Maritime domain awareness in South Africa: A multisource approach using remote sensing and AIS data

Author: Mdakane, Lizwe W ; Sibolla, Bolelang H ; Haupt, Shelley A Date: Sep 2023 Maritime Domain Awareness (MDA) is a key factor in ensuring the security, safety, economy, and environment of the maritime domain. Due to the large size of the EEZ, vessel tracking is essential for security, economy, tourism, and safety. ... Read more
SENTINEL-1 SAR for operational monitoring of Southern Africa Oceans

Author: Mdakane, Lizwe W Date: Jun 2022 The introduction of Synthetic Aperture Radar (SAR) through the Oceans and Coasts Monitoring Information system (OCIMS) has therefore become a critical tool for operational coastal and ocean monitoring in South Africa. Natural/man-made ocean ... Read more
Ships as salient objects in synthetic aperture radar imaginary

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2016 The widespread access to Synthetic Aperture Radar data has created a need for more precise ship extraction, specifically in low-to-medium resolution imagery. While Synthetic Aperture Radar pixel resolution is improving for a large swaths, ... Read more
Subsidence feature discrimination using deep convolutional neral networks in synthetic aperture radar imagery

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Engelbrecht, Jeanine ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2017 Effective detection and discrimination of surface deformation features in Synthetic Aperture Radar imagery is one of the most important applications of the data. Areas that undergo surface deformation can pose health and safety risks which ... Read more
Synthetic aperture radar ship detection using capsule networks

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2018 Deep Learning has become a common applied technique to improve results in a variety of detection scenarios, including Synthetic Aperture Radar ship detection. One of the most common Deep Learning techniques, Convolutional Neural Networks, ... Read more
Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2017 A major task in any discrimination scenario requires the collection and validation of as many examples as possible. Depending on the type of data this can be a time consuming process, especially when dealing with large remote sensing data ... Read more
Systems and architectural support for open data principles: A marine earth observation perspective

Author: Sibolla, Bolelang H ; Molapo, Nkadimeng R ; Vhengani, Lufuno M ; Mdakane, Lizwe W Date: Sep 2023 The GMES and Africa, MarCOSIO project, promotes the sustainable management of marine resources, improves marine governance, and stimulates the growth of the blue economy in the Southern African and Indian ocean region. Because of its mandate, ... Read more
Transfer learning for multi-frequency synthetic aperture radar applications

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV ; Janoth, J ; Lumsdon, P Date: Jul 2018 To correctly train a system to detect ships in Sythetic Aperture Radar imagery requires the creation of a validated dataset. This dataset is used to train a Machine Learning system to identify ships and non-ships. Recent advances in Deep ... Read more
Use of sentinel-1 data for vessel detection in South African oceans: Early results

Author: Kleynhans, Waldo ; Salmon, Brian P ; Schwegmann, Colin P ; Mdakane, Lizwe W Date: Aug 2015 This paper shows the utility of Synthetic Aperture Radar (SAR) data acquired from the recently launched Sentinel-1 satellite for the detection of vessels within the South African Exclusive Economic Zone (EEZ). A Sentinel-1 dual polarized (HH ... Read more
Using an active contour method to detect bilge dumps from SAR imagery

Author: Mdakane, Lizwe W ; Kleynhans, Waldo ; Schwegmann, Colin P Date: Jul 2016 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 ... Read more
Very deep learning for ship discrimination in synthetic aperture radar imagery

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2016 Efficient and effective ship discrimination across multiple Synthetic Aperture Radar sensors is becoming more important as access to SAR data becomes more widespread. A flexible means of separating ships from sea is ideal and can be accomplished ... Read more

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