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ORCIDJohannes H. Uhl
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Journal Articles
- 2023
[j10]Johannes H. Uhl
, Stefan Leyk:
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States. Int. J. Appl. Earth Obs. Geoinformation 123: 103469 (2023)- [j9]Basel Shbita, Craig A. Knoblock, Weiwei Duan, Yao-Yi Chiang, Johannes H. Uhl, Stefan Leyk:
Building spatio-temporal knowledge graphs from vectorized topographic historical maps. Semantic Web 14(3): 527-549 (2023) - 2022
- [j8]Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Craig A. Knoblock:
Towards the automated large-scale reconstruction of past road networks from historical maps. Comput. Environ. Urban Syst. 94: 101794 (2022) - [j7]Keith Burghardt, Johannes H. Uhl, Kristina Lerman, Stefan Leyk:
Road network evolution in the urban and rural United States since 1900. Comput. Environ. Urban Syst. 95: 101803 (2022) - 2021
- [j6]Johannes H. Uhl, Stefan Leyk, Zekun Li, Weiwei Duan, Basel Shbita, Yao-Yi Chiang, Craig A. Knoblock:
Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents. Remote. Sens. 13(18): 3672 (2021) - 2020
- [j5]Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, Craig A. Knoblock:
Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks. IEEE Access 8: 6978-6996 (2020) - [j4]Johannes H. Uhl, Hamidreza Zoraghein, Stefan Leyk, Deborah Balk, Christina Corbane, Vasileios Syrris, Aneta J. Florczyk:
Exposing the urban continuum: implications and cross-comparison from an interdisciplinary perspective. Int. J. Digit. Earth 13(1): 22-44 (2020) - [j3]Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. Int. J. Geogr. Inf. Sci. 34(4): 824-849 (2020) - 2018
- [j2]Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, Craig A. Knoblock:
Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing. IET Image Process. 12(11): 2084-2091 (2018) - [j1]Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, Craig A. Knoblock:
Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections. ISPRS Int. J. Geo Inf. 7(4): 148 (2018)
Conference and Workshop Papers
- 2024
- [c8]Johannes H. Uhl, Martino Pesaresi, Panagiotis Politis, Katarzyna Goch, Michele Melchiorri, Thomas Kemper:
Towards a Quasi-Global Accuracy Assessment of Built-Up Surface Estimates Derived From Sentinel-2 Multispectral Data. IGARSS 2024: 4697-4700 - 2021
- [c7]Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. IEEE BigData 2021: 725-734 - [c6]Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. IEEE BigData 2021: 1604-1610 - 2020
- [c5]Basel Shbita, Craig A. Knoblock, Weiwei Duan, Yao-Yi Chiang, Johannes H. Uhl, Stefan Leyk:
Building Linked Spatio-Temporal Data from Vectorized Historical Maps. ESWC 2020: 409-426 - [c4]Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock:
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. KDD 2020: 3290-3298 - 2018
- [c3]Chun Lin, Hang Su, Craig A. Knoblock, Yao-Yi Chiang, Weiwei Duan, Stefan Leyk, Johannes H. Uhl:
Building Linked Data from Historical Maps. SemSci@ISWC 2018: 59-67 - 2017
- [c2]Weiwei Duan, Yao-Yi Chiang, Craig A. Knoblock, Vinil Jain, Dan Feldman, Johannes H. Uhl, Stefan Leyk:
Automatic alignment of geographic features in contemporary vector data and historical maps. GeoAI@SIGSPATIAL 2017: 45-54 - [c1]Johannes H. Uhl, Stefan Leyk:
A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change. IGARSS 2017: 1908-1911
Informal and Other Publications
- 2022
- [i5]Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Craig A. Knoblock:
Towards the automated large-scale reconstruction of past road networks from historical maps. CoRR abs/2202.04883 (2022) - [i4]Johannes H. Uhl, Stefan Leyk:
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015). CoRR abs/2203.11078 (2022) - 2021
- [i3]Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock:
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. CoRR abs/2112.01671 (2021) - [i2]Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. CoRR abs/2112.05786 (2021) - [i1]Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. CoRR abs/2112.05794 (2021)
Coauthor Index
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