Johannes H. Uhl
Orcid: 0000-0002-4861-5915
According to our database1,
Johannes H. Uhl
authored at least 20 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data.
Int. J. Digit. Earth, December, 2024
Towards a Quasi-Global Accuracy Assessment of Built-Up Surface Estimates Derived From Sentinel-2 Multispectral Data.
Proceedings of the IGARSS 2024, 2024
2023
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States.
Int. J. Appl. Earth Obs. Geoinformation, September, 2023
Building spatio-temporal knowledge graphs from vectorized topographic historical maps.
Semantic Web, 2023
2022
Towards the automated large-scale reconstruction of past road networks from historical maps.
Comput. Environ. Urban Syst., 2022
Comput. Environ. Urban Syst., 2022
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015).
CoRR, 2022
2021
Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents.
Remote. Sens., 2021
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning.
Int. J. Geogr. Inf. Sci., 2020
Exposing the urban continuum: implications and cross-comparison from an interdisciplinary perspective.
Int. J. Digit. Earth, 2020
Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks.
IEEE Access, 2020
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Semantic Web - 17th International Conference, 2020
2018
Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections.
ISPRS Int. J. Geo Inf., 2018
Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing.
IET Image Process., 2018
Proceedings of the Second Workshop on Enabling Open Semantic Science co-located with 17th International Semantic Web Conference, 2018
2017
A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Automatic alignment of geographic features in contemporary vector data and historical maps.
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, 2017