Johannes H. Uhl

26 papers A* 1B 1C 2Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Advancing Precision, Recall, F-score, and Jaccard index: An approach for continuous, ratio-scale measurements.
Environ. Model. Softw.
Katarzyna Krasnodebska, Wojciech Goch, Johannes H. Uhl, Judith Anne Verstegen, Martino Pesaresi
2025 — conf
Towards Large-scale Backcasting of Urban Built-up Surface Estimates to 1950 by Integrating Earth Observation Data and Multimodal Geospatial Data.
JURSE
Johannes H. Uhl, Martino Pesaresi, Katarzyna Krasnodebska, Lewis Dijkstra, Daniele Ehrlich, Thomas Kemper
2024 J jnl
Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data.
Int. J. Digit. Earth
Martino Pesaresi, Marcello Schiavina, Panagiotis Politis, Sérgio Freire, Katarzyna Krasnodebska, Johannes H. Uhl, Alessandra Carioli, Christina Corbane, Lewis Dijkstra, Pietro Florio, Hannah K. Friedrich, Jing Gao, Stefan Leyk, Linlin Lu, Luca Maffenini, Ines Mari-Rivero, Michele Melchiorri, Vasileios Syrris, Jamon Van Den Hoek, Thomas Kemper
2024 C conf
Towards a Quasi-Global Accuracy Assessment of Built-Up Surface Estimates Derived From Sentinel-2 Multispectral Data.
IGARSS
Johannes H. Uhl, Martino Pesaresi, Panagiotis Politis, Katarzyna Goch, Michele Melchiorri, Thomas Kemper
2023 J jnl
Building spatio-temporal knowledge graphs from vectorized topographic historical maps.
Semantic Web
Basel Shbita, Craig A. Knoblock, Weiwei Duan, Yao-Yi Chiang, Johannes H. Uhl, Stefan Leyk
2023 J jnl
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States.
Int. J. Appl. Earth Obs. Geoinformation
Johannes H. Uhl, Stefan Leyk
2022 J jnl
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015).
CoRR
Johannes H. Uhl, Stefan Leyk
2022 J jnl
Road network evolution in the urban and rural United States since 1900.
Comput. Environ. Urban Syst.
Keith Burghardt, Johannes H. Uhl, Kristina Lerman, Stefan Leyk
2022 J jnl
Towards the automated large-scale reconstruction of past road networks from historical maps.
CoRR
Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Craig A. Knoblock
2022 J jnl
Towards the automated large-scale reconstruction of past road networks from historical maps.
Comput. Environ. Urban Syst.
Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Craig A. Knoblock
2021 — conf
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition.
IEEE BigData
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock
2021 J jnl
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition.
CoRR
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock
2021 J jnl
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images.
CoRR
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock
2021 J jnl
Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents.
Remote. Sens.
Johannes H. Uhl, Stefan Leyk, Zekun Li, Weiwei Duan, Basel Shbita, Yao-Yi Chiang, Craig A. Knoblock
2021 — conf
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images.
IEEE BigData
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock
2021 J jnl
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images.
CoRR
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock
2020 A* conf
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images.
KDD
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock
2020 J jnl
Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks.
IEEE Access
Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, Craig A. Knoblock
2020 J jnl
Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning.
Int. J. Geogr. Inf. Sci.
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock
2020 B conf
Building Linked Spatio-Temporal Data from Vectorized Historical Maps.
ESWC
Basel Shbita, Craig A. Knoblock, Weiwei Duan, Yao-Yi Chiang, Johannes H. Uhl, Stefan Leyk
2020 J jnl
Exposing the urban continuum: implications and cross-comparison from an interdisciplinary perspective.
Int. J. Digit. Earth
Johannes H. Uhl, Hamidreza Zoraghein, Stefan Leyk, Deborah Balk, Christina Corbane, Vasileios Syrris, Aneta J. Florczyk
2018 — conf
Building Linked Data from Historical Maps.
SemSci@ISWC
Chun Lin, Hang Su, Craig A. Knoblock, Yao-Yi Chiang, Weiwei Duan, Stefan Leyk, Johannes H. Uhl
2018 J jnl
Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections.
ISPRS Int. J. Geo Inf.
Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, Craig A. Knoblock
2018 J jnl
Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing.
IET Image Process.
Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, Craig A. Knoblock
2017 C conf
A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change.
IGARSS
Johannes H. Uhl, Stefan Leyk
2017 — conf
Automatic alignment of geographic features in contemporary vector data and historical maps.
GeoAI@SIGSPATIAL
Weiwei Duan, Yao-Yi Chiang, Craig A. Knoblock, Vinil Jain, Dan Feldman, Johannes H. Uhl, Stefan Leyk