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Lloyd Hughes
Lloyd Hughes
E-mailová adresa ověřena na: epfl.ch
Název
Citace
Citace
Rok
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
3062019
The SEN1-2 dataset for deep learning in SAR-optical data fusion
M Schmitt, LH Hughes, XX Zhu
arXiv preprint arXiv:1807.01569, 2018
2622018
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
2292018
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
1202020
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
1182020
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
802019
Aggregating cloud-free sentinel-2 images with google earth engine
M Schmitt, LH Hughes, C Qiu, XX Zhu
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
692019
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
572018
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
382019
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
33
Colorizing sentinel-1 sar images using a variational autoencoder conditioned on sentinel-2 imagery
M Schmitt, LH Hughes, M Körner, XX Zhu
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
272018
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
23
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
162020
A semi-supervised approach to SAR-optical image matching
LH Hughes, M Schmitt
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
132019
2020 ieee grss data fusion contest
M Schmitt, L Hughes, P Ghamisi, N Yokoya, R Hansch
(No Title), 2019
92019
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
62018
A Cluster Graph Approach to Land Cover Classification Boosting
LH Hughes, S Streicher, E Chuprikova, J Du Preez
Data 4 (1), 2019
52019
Enhancing mobile camera pose estimation through the inclusion of sensors
LH Hughes
Stellenbosch: Stellenbosch University, 2014
52014
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
R Zbinden, N Van Tiel, B Kellenberger, L Hughes, D Tuia
Ecological Informatics 81, 102623, 2024
42024
Deep learning for matching high-resolution SAR and optical imagery
LH Hughes
Technische Universität München, 2020
42020
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Články 1–20