[10] Soal, K., Volkmar, R., Hughes, L. H., Govers, Y., and Böswald, M. 2019. Evolutionary Based Approach to Modal Parameter Identification. In IOMAC 2019 – 8th International Operational Modal Analysis Conference.
[9] Volkmar, R., Soal, K., Hughes, L. H., Govers, Y., and Böswald, M. 2019. Automated optimization of output only modal parameter identification. In IOMAC 2019 – 8th International Operational Modal Analysis Conference.
[8] Hughes, L. H., Streicher, S., Chuprikova, E., and Du Preez, J. 2019. A Cluster Graph Approach to Land Cover Classification Boosting. Data, 4(1).
[7] Hughes, L. H., Schmitt, M., and Zhu, X. 2018. Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial Networks. Remote Sensing, 10(10), p.1552.
[6] Schmitt, M., Hughes, L. H., Körner, M., and Zhu, X. 2018. Colorizing Sentinel-1 SAR Images Using a Variational Autoencoder Conditioned on Sentinel-2 Imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, p.2.
[5] Schmitt, M., Hughes, L. H., and Zhu, X. 2018. The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion. In ISPRS TCI Symposium 2018 (pp. 141–146).
[4] Hughes, L. H., Schmitt, M., and Zhu, X. 2018. Generative Adversarial Networks for Hard Negative Mining in CNN-based SAR-Optical Image Matching. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 4391–4394).
[3] Hughes, L. H., Auer, S., and Schmitt, M. 2018. Investigation of Joint Visibility Between SAR and Optical Images of Urban Environments. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(2), p.129–136.
[2] Hughes, L. H., Schmitt, M., Mou, L., Wang, Y., and Zhu, X. 2018. Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN. IEEE Geoscience and Remote Sensing Letters, 15(5), p.784–788.
[1] Hughes, L. H., 2014. Enhancing Mobile Camera Pose Estimation Through the Inclusion of Sensors. (Masters Thesis, Stellenbosch: Stellenbosch University).