Dr-Ing. Aerospace Engineering and Geodesy
Technical University of Munich, Germany
2020
M.Sc. Applied Mathematics, Cum Laude
Stellenbosch University, South Africa
2014
B.Sc. Electrical and Computer Engineering, First Class Honours
University of Cape Town, South Africa
2012
[15] X. Zhu, J. Hu, C. Qiu, Y. Shi, J. Kang, L. Mou, H. Bagheri, M. Haberle, Y. Hua, R. Huang, L. H. Hughes, H. Li, Y. Sun, G. Zhang, S. Han, M. Schmitt, and Y. Wang 2020. So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification. IEEE Geoscience and Remote Sensing Magazine
[14] Hughes, L. H., Merkle, N., Bürgmann, T., Auer, S., and Schmitt, M. 2019. Deep Learning for SAR-Optical Image Matching. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 4877–4880).
[13] Schmitt, M., Hughes, L. H., Qiu, C., and Zhu, X. 2019. Aggregating Cloud-Free Sentinel-2 Images with Google Earth. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4.
[12] Hughes, L. H., and Schmitt, M. 2019. A Semi-Supervised Approach to SAR-Optical Image. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4.
[11] Schmitt, M., Hughes, L. H., Qiu, C., and Zhu, X. 2019. SEN12MS – A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W7, p.153–160.
[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).
