Follow
Lloyd Hughes
Lloyd Hughes
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Identifying corresponding patches in SAR and optical images with a pseudo-siamese CNN
LH Hughes, M Schmitt, L Mou, Y Wang, XX Zhu
IEEE Geoscience and Remote Sensing Letters 15 (5), 784-788, 2018
1192018
The SEN1-2 dataset for deep learning in SAR-optical data fusion
M Schmitt, LH Hughes, XX Zhu
arXiv preprint arXiv:1807.01569, 2018
1122018
SEN12MS--A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
M Schmitt, LH Hughes, C Qiu, XX Zhu
arXiv preprint arXiv:1906.07789, 2019
1092019
A deep learning framework for matching of SAR and optical imagery
LH Hughes, D Marcos, S Lobry, D Tuia, M Schmitt
ISPRS Journal of Photogrammetry and Remote Sensing 169, 166-179, 2020
422020
So2Sat LCZ42: A benchmark dataset for global local climate zones classification
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ...
arXiv preprint arXiv:1912.12171, 2019
402019
Mining hard negative samples for SAR-optical image matching using generative adversarial networks
LH Hughes, M Schmitt, XX Zhu
Remote Sensing 10 (10), 1552, 2018
372018
Aggregating cloud-free Sentinel-2 images with Google earth engine
M Schmitt, L Hughes, C Qiu, XX Zhu
PIA19: Photogrammetric Image Analysis, 145-152, 2019
362019
So2Sat LCZ42: A benchmark data set for the classification of global local climate zones [Software and Data Sets]
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Haberle, Y Hua, ...
IEEE Geoscience and Remote Sensing Magazine 8 (3), 76-89, 2020
332020
Deep learning for SAR-optical image matching
LH Hughes, N Merkle, T Bürgmann, S Auer, M Schmitt
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
222019
Colorizing sentinel-1 sar images using a variational autoencoder conditioned on sentinel-2 imagery
M Schmitt, L Hughes, M Körner, XX Zhu
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
152018
The SEN1-2 dataset for deep learning in SAR-optical data fusion. arXiv 2018
M Schmitt, LH Hughes, XX Zhu
arXiv preprint arXiv:1807.01569, 0
10
A semi-supervised approach to SAR-optical image matching
LH Hughes, M Schmitt
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
92019
SEN12MS—A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion. arXiv 2019
M Schmitt, LH Hughes, C Qiu, XX Zhu
arXiv preprint arXiv:1906.07789, 0
8
Enhancing mobile camera pose estimation through the inclusion of sensors
LH Hughes
Stellenbosch: Stellenbosch University, 2014
52014
Multitask learning for human settlement extent regression and local climate zone classification
C Qiu, L Liebel, LH Hughes, M Schmitt, M Körner, XX Zhu
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
42020
A Cluster Graph Approach to Land Cover Classification Boosting
LH Hughes, S Streicher, E Chuprikova, J Du Preez
Data 4 (1), 2019
42019
Generative Adversarial Networks for Hard Negative Mining in CNN-based SAR-Optical Image Matching
LH Hughes, M Schmitt, XX Zhu
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
32018
Investigation of joint visibility between SAR and optical images of urban environments
L Hughes, S Auer, M Schmitt
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018
32018
Deep learning for matching high-resolution SAR and optical imagery
LH Hughes
TU München, 2020
22020
Automated optimization of output only modal parameter identification
R Volkmar, K Soal, LH Hughes, Y Govers, M Böswald
IOMAC 2019 - 8th International Operational Modal Analysis Conference, 2019
22019
The system can't perform the operation now. Try again later.
Articles 1–20