Lloyd H. Hughes

Orcid: 0000-0003-0293-4491

According to our database1, Lloyd H. Hughes authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Improved Image Aggregation for Large-Scale Cloud-Free Image Creation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Comparative Evaluation of Deep Learning-Based Sar-Optical Image Matching Approaches.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification.
CoRR, 2020

2019
A Cluster Graph Approach to Land Cover Classification Boosting.
Data, 2019

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification.
CoRR, 2019

SEN12MS - A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion.
CoRR, 2019

Deep Learning for SAR-Optical Image Matching.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial Networks.
Remote. Sens., 2018

Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN.
IEEE Geosci. Remote. Sens. Lett., 2018

The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion.
CoRR, 2018

Generative Adversarial Networks for Hard Negative Mining in CNN-Based SAR-Optical Image Matching.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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