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ORCIDStefan Leyk
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- affiliation: University of Colorado, USA
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2020 – today
- 2023
[j21]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)- [j20]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
- [j19]Hendrik Herold, Martin Behnisch, Robert Hecht, Stefan Leyk:
Geospatial Modeling Approaches to Historical Settlement and Landscape Analysis. ISPRS Int. J. Geo Inf. 11(2): 75 (2022) - [j18]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) - [j17]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) - [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
- [j16]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) - [j15]Deborah Balk, Stefan Leyk, Mark R. Montgomery, Hasim Engin:
Global Harmonization of Urbanization Measures: Proceed with Care. Remote. Sens. 13(24): 4973 (2021) - [c11]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 - [c10]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 - [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) - 2020
- [j14]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) - [j13]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) - [j12]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) - [c9]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 - [c8]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
2010 – 2019
- 2018
- [j11]Hamidreza Zoraghein, Stefan Leyk:
Enhancing areal interpolation frameworks through dasymetric refinement to create consistent population estimates across censuses. Int. J. Geogr. Inf. Sci. 32(10): 1948-1976 (2018) - [j10]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) - [j9]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) - [c7]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
- [c6]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 - [c5]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 - 2016
- [j8]Yao-Yi Chiang, Stefan Leyk, Narges Nazari, Sima Moghaddam, Tianxiang Tan:
Assessing the impact of graphical quality on automatic text recognition in digital maps. Comput. Geosci. 93: 21-35 (2016) - [j7]Hamidreza Zoraghein, Stefan Leyk, Matthew Ruther, Barbara P. Buttenfield:
Exploiting temporal information in parcel data to refine small area population estimates. Comput. Environ. Urban Syst. 58: 19-28 (2016) - 2015
- [j6]Galen Maclaurin, Stefan Leyk, Lori Hunter:
Understanding the Combined Impacts of Aggregation and Spatial Non-Stationarity: The Case of Migration-Environment Associations in Rural South Africa. Trans. GIS 19(6): 877-895 (2015) - 2014
- [j5]Yao-Yi Chiang, Stefan Leyk, Craig A. Knoblock:
A Survey of Digital Map Processing Techniques. ACM Comput. Surv. 47(1): 1:1-1:44 (2014) - 2013
- [j4]Stefan Leyk, Barbara P. Buttenfield, Nicholas N. Nagle:
Modeling Ambiguity in Census Microdata Allocations to Improve Demographic Small Area Estimates. Trans. GIS 17(3): 406-425 (2013) - [c4]Hee-Young Yoo, Stefan Leyk, No-Wook Park:
Assessing the uncertainty of non-change in national-scale vegetation mapping using 3D wavelet transformed NDVI time series. IGARSS 2013: 2688-2691 - 2011
- [c3]Yao-Yi Chiang, Stefan Leyk, Craig A. Knoblock:
Efficient and Robust Graphics Recognition from Historical Maps. GREC 2011: 25-35 - 2010
- [j3]Stefan Leyk, Ruedi Boesch:
Colors of the past: color image segmentation in historical topographic maps based on homogeneity. GeoInformatica 14(1): 1-21 (2010)
2000 – 2009
- 2009
- [c2]Stefan Leyk:
Segmentation of Colour Layers in Historical Maps Based on Hierarchical Colour Sampling. GREC 2009: 231-241 - 2006
- [j2]Stefan Leyk, Ruedi Boesch, Robert Weibel:
Saliency and semantic processing: Extracting forest cover from historical topographic maps. Pattern Recognit. 39(5): 953-968 (2006) - 2005
- [j1]Stefan Leyk, Ruedi Boesch, Robert Weibel:
A Conceptual Framework for Uncertainty Investigation in Map-based Land Cover Change Modelling. Trans. GIS 9(3): 291-322 (2005) - 2004
- [c1]Stefan Leyk, Niklaus E. Zimmermann:
A Predictive Uncertainty Model for Field-Based Survey Maps Using Generalized Linear Models. GIScience 2004: 191-205
Coauthor Index
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