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Items where Author is "Schwegmann, CP"
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Number of items: 5.
Article
Schwegmann, CP, Kleynhans, W and Salmon, BP 
ORCID: 0000-0001-5722-3414 2017
, 'Synthetic aperture radar ship detection using Haar-like features'
, IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 2
, pp. 154-158
, doi: https://doi.org/10.1109/LGRS.2016.2631638.
ORCID: 0000-0001-5722-3414 2017
, 'Synthetic aperture radar ship detection using Haar-like features'
, IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 2
, pp. 154-158
, doi: https://doi.org/10.1109/LGRS.2016.2631638.
Conference Publication
Salmon, BP ORCID: 0000-0001-5722-3414, Kleynhans, W, Olivier, JC ORCID: 0000-0002-7703-6357 and Schwegmann, CP 2017
, 'Improving features used for land cover change detection by reducing the uncertainty in the feature extraction method', in
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium
, IEEE, United States, pp. 1-4
.
ORCID: 0000-0001-5722-3414, Kleynhans, W, Olivier, JC ORCID: 0000-0002-7703-6357 and Schwegmann, CP 2017
, 'Improving features used for land cover change detection by reducing the uncertainty in the feature extraction method', in
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium
, IEEE, United States, pp. 1-4
.
Schwegmann, CP, Kleynhans, W and Salmon, BP ORCID: 0000-0001-5722-3414 2017
, 'The development of deep learning in synthetic aperture radar imagery', in
2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP)
, Institute of Electrical and Electronics Engineers Inc., United States, pp. 5-6
, doi: https://doi.org/10.1109/RSIP.2017.7958802.
ORCID: 0000-0001-5722-3414 2017
, 'The development of deep learning in synthetic aperture radar imagery', in
2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP)
, Institute of Electrical and Electronics Engineers Inc., United States, pp. 5-6
, doi: https://doi.org/10.1109/RSIP.2017.7958802.
Schwegmann, CP, Kleynhans, W, Salmon, BP ORCID: 0000-0001-5722-3414, Mdakane, LW and Meyer, RGV 2017
, 'Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks', in
Proceedings from the 2017 IEEE International Geoscience and Remote Sensing Symposium
, IEEE, United States, pp. 1-4
.
ORCID: 0000-0001-5722-3414, Mdakane, LW and Meyer, RGV 2017
, 'Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks', in
Proceedings from the 2017 IEEE International Geoscience and Remote Sensing Symposium
, IEEE, United States, pp. 1-4
.
Schwegmann, CP, Kleynhans, W, Salmon, BP ORCID: 0000-0001-5722-3414, Mdakane, LW and Meyer, RGV 2017
, 'Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks', in
Proceedings from the 2017 IEEE International Geoscience and Remote Sensing Symposium
, IEEE, United States, pp. 1-4
.
ORCID: 0000-0001-5722-3414, Mdakane, LW and Meyer, RGV 2017
, 'Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks', in
Proceedings from the 2017 IEEE International Geoscience and Remote Sensing Symposium
, IEEE, United States, pp. 1-4
.