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Browsing Research Publications/Outputs by Author "Schwegmann, Colin P"

Now showing items 1-16 of 16

The best of a BAD situation: Optimising an algorithm to match course resolution SAR vessel detections to sparse AIS data

Author: Meyer, Rory GV ; Schwegmann, Colin P ; Kleynhans, Waldo Date: Jul 2017 The detection and classification of SAR imaged vessels at sea is a valuable ability for organisations interested in the marine environment or marine vessels. Matching the SAR detected vessels to their AIS messages allows vessels to be identified ... Read more
The development of deep learning in synthetic aperture radar imagery

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP Date: May 2017 The usage of remote sensing to observe environments necessitates interdisciplinary approaches to derive effective, impactful research. One remote sensing technique, Synthetic Aperture Radar, has shown significant benefits over traditional ... 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
Improving features used for hyper-temporal land cover change detection by reducing the uncertainty in the feature extraction method

Author: Salmon, BP ; Kleynhans, Waldo ; Olivier, JC ; Schwegmann, Colin P Date: Jul 2017 The well-being of the environment is one of the major factors that contributes to sustainability. Sustainable human settlements require local governance to plan, implement, develop, and manage human settlements expansions. This is important ... Read more
The reinvigorated South African GRSS Chapter

Author: Schwegmann, Colin P Date: Sep 2017 Looking ahead, the South African GRSS Chapter is investigating the possibility of organizing a meeting with local GRSS members, universities, and other remote-sensing organizations with the purpose of engaging undergraduate and early postgraduate ... 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
Small ships don't shine: classification of ocean vessels from low resolution, large swath area SAR acquisitions

Author: Meyer, Rory GV ; Kleynhans, Waldo ; Schwegmann, Colin P Date: Jul 2016 Monitoring ocean vessels that are not near the coast is difficult and expensive. One way of overcoming this is through the use of SAR satellite platforms. To monitor the largest possible area would require the use of course resolution SAR ... 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
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
Transforming the autocorrelation function of a time series to detect land cover change

Author: Salmon, BP ; Kleynhans, Waldo ; Olivier, JC ; Schwegmann, Colin P Date: Jul 2015 Regional monitoring of land cover conversion of natural vegetation to new informal human settlements is essential when investigating the migration of people to urbanized cities. Detecting these new settlements require reliable change detection ... 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
Vessel classification features using spatial Bayesian inference from historical AIS data

Author: Meyer, Rory GV ; Schwegmann, Colin P ; Kleynhans, Waldo Date: Jul 2017 Detections and classification of non-AIS-compliant vessels is an important ability for countries or institutions interested in MDA. SAR has been proven to be an effective method but there exists a trade-off between the area that can be imaged ... Read more

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