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Journal Articles
- 2017
[j2]Colin P. Schwegmann
, Waldo Kleynhans, Brian P. Salmon:
Synthetic Aperture Radar Ship Detection Using Haar-Like Features. IEEE Geosci. Remote. Sens. Lett. 14(2): 154-158 (2017)- 2015
- [j1]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon:
Manifold Adaptation for Constant False Alarm Rate Ship Detection in South African Oceans. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(7): 3329-3337 (2015)
Conference and Workshop Papers
- 2018
- [c22]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, L. W. Mdakane, Rory Meyer:
Synthetic Aperture Radar Ship Detection Using Capsule Networks. IGARSS 2018: 725-728 - [c21]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, L. W. Mdakane, Rory Meyer, Jürgen Janoth, Parivash Lumsdon:
Transfer Learning for Multi-Frequency Synthetic Aperture Radar Applications. IGARSS 2018: 4403-4406 - 2017
- [c20]Brian P. Salmon, Waldo Kleynhans, J. Corné Olivier, Colin P. Schwegmann:
Improving features used for hyper-temporal land cover change detection by reducing the uncertainty in the feature extraction method. IGARSS 2017: 1740-1743 - [c19]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, L. W. Mdakane, Rory Meyer:
Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks. IGARSS 2017: 2263-2266 - [c18]Rory Meyer, Colin P. Schwegmann, Waldo Kleynhans:
The best of a BAD situation: Optimising an algorithm to match course resolution SAR vessel detections to sparse AIS data. IGARSS 2017: 2385-2388 - [c17]Rory Meyer, Colin P. Schwegmann, Waldo Kleynhans:
Vessel classification features using spatial Bayesian inference from historical ais data. IGARSS 2017: 2629-2632 - [c16]L. W. Mdakane, Waldo Kleynhans, Colin P. Schwegmann, Rory Meyer:
Image segmentation-based oil slick detection using sar radarsat-2 OSVN maritime data. IGARSS 2017: 3113-3116 - [c15]Colin P. Schwegmann, Waldo Kleynhans, Jeanine Engelbrecht, L. W. Mdakane, Rory Meyer:
Subsidence feature discrimination using deep convolutional neural networks in synthetic aperture radar imagery. IGARSS 2017: 4626-4629 - 2016
- [c14]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, L. W. Mdakane, Rory Meyer:
Very deep learning for ship discrimination in Synthetic Aperture Radar imagery. IGARSS 2016: 104-107 - [c13]Rory Meyer, Waldo Kleynhans, Colin P. Schwegmann:
Small ships don't shine: Classification of ocean vessels from low resolution, large swath area SAR acquisitions. IGARSS 2016: 975-978 - [c12]Brian P. Salmon, Waldo Kleynhans, Jan C. Olivier, Colin P. Schwegmann:
A heuristic approach to learning new graph structures for remote sensing images. IGARSS 2016: 3051-3054 - [c11]L. W. Mdakane, Waldo Kleynhans, Colin P. Schwegmann:
Using an active contour method to detect bilge dumps from SAR imagery. IGARSS 2016: 5015-5018 - [c10]Brian Paxton Salmon, Waldo Kleynhans, Jan C. Olivier, Colin P. Schwegmann:
Transforming the autocorrelation function of a time series to detect land cover change. IGARSS 2016: 5181-5184 - [c9]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, L. W. Mdakane, Rory Meyer:
Ships as salient objects in Synthetic Aperture Radar imagery. IGARSS 2016: 6898-6901 - 2015
- [c8]L. W. Mdakane, Waldo Kleynhans, Colin P. Schwegmann:
Bilge dump detection from SAR imagery using local binary patterns. IGARSS 2015: 357-360 - [c7]Brian P. Salmon, Waldo Kleynhans, Colin P. Schwegmann, Jan C. Olivier:
Proper comparison among methods using a confusion matrix. IGARSS 2015: 3057-3060 - [c6]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, Lizwe Mdakane:
A CA-CFAR and localized wavelet ship detector for Sentinel-1 imagery. IGARSS 2015: 3707-3710 - [c5]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, Lizwe Mdakane:
Ship detection in Sentinel-1 imagery using the H-dome transformation. IGARSS 2015: 3711-3714 - [c4]Brian P. Salmon, Waldo Kleynhans, Jan C. Olivier, Colin P. Schwegmann, Willem C. Olding:
A multi-tier higher order conditional random field for land cover classification of multi-temporal multi-spectral landsat imagery. IGARSS 2015: 4372-4375 - 2014
- [c3]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon:
Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier. IGARSS 2014: 557-560 - [c2]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon:
Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery. IGARSS 2014: 561-564 - 2013
- [c1]Waldo Kleynhans, Brian P. Salmon, Colin P. Schwegmann, M. Vincent Seotlo:
Ship detection in South African oceans using a combination of SAR and historic LRIT data. IGARSS 2013: 1521-1524
Data and Artifacts
- 2022
- [d1]Colin P. Schwegmann, Waldo Kleynhans, Brian P. Salmon, L. W. Mdakane, Rory Meyer:
A SAR ship dataset for detection, discrimination and analysis. IEEE DataPort, 2022
Coauthor Index
aka: Brian Paxton Salmon
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