| Very deep learning for ship discrimination in synthetic aperture radar imagery CP Schwegmann, W Kleynhans, BP Salmon, LW Mdakane, RGV Meyer 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 112 | 2016 |
| Synthetic aperture radar ship detection using Haar-like features CP Schwegmann, W Kleynhans, BP Salmon IEEE Geoscience and Remote Sensing Letters 14 (2), 154-158, 2016 | 71 | 2016 |
| Manifold adaptation for constant false alarm rate ship detection in South African oceans CP Schwegmann, W Kleynhans, BP Salmon IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 66 | 2015 |
| Proper comparison among methods using a confusion matrix BP Salmon, W Kleynhans, CP Schwegmann, JC Olivier 2015 IEEE International geoscience and remote sensing symposium (IGARSS …, 2015 | 51 | 2015 |
| Subsidence feature discrimination using deep convolutional neural networks in synthetic aperture radar imagery CP Schwegmann, W Kleynhans, J Engelbrecht, LW Mdakane, ... 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 24 | 2017 |
| Ship Detection in South African oceans using a combination of SAR and historic LRIT data W Kleynhans, BP Salmon, CP Schwegmann, MV Seotlo 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 1521 …, 2013 | 23 | 2013 |
| Synthetic aperture radar ship detection using capsule networks CP Schwegmann, W Kleynhans, BP Salmon, LW Mdakane, RGV Meyer IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 21 | 2018 |
| Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks CP Schwegmann, W Kleynhans, BP Salmon, LW Mdakane, RGV Meyer 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 19 | 2017 |
| Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier CP Schwegmann, W Kleynhans, BP Salmon 2014 IEEE Geoscience and Remote Sensing Symposium, 557-560, 2014 | 12 | 2014 |
| Small ships don't shine: classification of ocean vessels from low resolution, large swath area SAR acquisitions RGV Meyer, W Kleynhans, CP Schwegmann 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 11 | 2016 |
| The development of deep learning in synthetic aperture radar imagery CP Schwegmann, W Kleynhans, BP Salmon 2017 International Workshop on Remote Sensing with Intelligent Processing …, 2017 | 10 | 2017 |
| A SAR ship dataset for detection, discrimination and analysis CP Schwegmann, W Kleynhans, BP Salmon, LW Mdakane, RGV Meyer IEEE Dataport, 2017 | 9 | 2017 |
| A CA-CFAR and localized wavelet ship detector for sentinel-1 imagery CP Schwegmann, W Kleynhans, BP Salmon, L Mdakane 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 4 | 2015 |
| Ship detection in Sentinel-1 imagery using the H-dome transformation CP Schwegmann, W Kleynhans, BP Salmon, L Mdakane 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 4 | 2015 |
| Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery CP Schwegmann, W Kleynhans, BP Salmon 2014 IEEE Geoscience and Remote Sensing Symposium, 561-564, 2014 | 4 | 2014 |
| Transfer learning for multi-frequency synthetic aperture radar applications CP Schwegmann, W Kleynhans, BP Salmon, LW Mdakane, RGV Meyer, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 3 | 2018 |
| The best of a BAD situation: Optimising an algorithm to match course resolution SAR vessel detections to sparse AIS data RGV Meyer, CP Schwegmann, W Kleynhans 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 3 | 2017 |
| Vessel classification features using spatial Bayesian inference from historical ais data RGV Meyer, CP Schwegmann, W Kleynhans 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 3 | 2017 |
| Advanced ship detection methods in Synthetic Aperture Radar imagery CP Schwegmann PQDT-Global, 2018 | 2 | 2018 |
| Improving features used for hyper-temporal land cover change detection by reducing the uncertainty in the feature extraction method BP Salmon, W Kleynhans, JC Olivier, CP Schwegmann 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 2 | 2017 |
