Johannes H. Uhl

According to our database1, Johannes H. Uhl authored at least 13 papers between 2017 and 2021.

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In proceedings 
PhD thesis 


Online presence:



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

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

Building Linked Spatio-Temporal Data from Vectorized Historical Maps.
Proceedings of the Semantic Web - 17th International Conference, 2020

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

Building Linked Data from Historical Maps.
Proceedings of the Second Workshop on Enabling Open Semantic Science co-located with 17th International Semantic Web Conference, 2018

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