Stefan Leyk

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 27

Top Topics

Convolutional Neural Networks

Object Recognition

Weakly Supervised

Top Venues

Comput. Environ. Urban Syst.

ISPRS Int. J. Geo Inf.

Publications

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) (2023)
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 (2023)
Johannes H. Uhl, Stefan Leyk
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015). CoRR (2022)
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 (2022)
Hendrik Herold, Martin Behnisch, Robert Hecht, Stefan Leyk
Geospatial Modeling Approaches to Historical Settlement and Landscape Analysis. ISPRS Int. J. Geo Inf. 11 (2) (2022)
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 (2022)
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 (2022)
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) (2021)
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)
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 (2021)
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 (2021)
Deborah Balk, Stefan Leyk, Mark R. Montgomery, Hasim Engin
Global Harmonization of Urbanization Measures: Proceed with Care. Remote. Sens. 13 (24) (2021)
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)
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 (2021)
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) (2020)
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)
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 (2020)
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)
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) (2020)
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) (2018)
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) (2018)
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) (2018)
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)
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)
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)
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 (2016)
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 (2016)
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) (2015)
Yao-Yi Chiang, Stefan Leyk, Craig A. Knoblock
A Survey of Digital Map Processing Techniques. ACM Comput. Surv. 47 (1) (2014)
Stefan Leyk, Barbara P. Buttenfield, Nicholas N. Nagle
Modeling Ambiguity in Census Microdata Allocations to Improve Demographic Small Area Estimates. Trans. GIS 17 (3) (2013)
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)
Yao-Yi Chiang, Stefan Leyk, Craig A. Knoblock
Efficient and Robust Graphics Recognition from Historical Maps. GREC (2011)
Stefan Leyk, Ruedi Boesch
Colors of the past: color image segmentation in historical topographic maps based on homogeneity. GeoInformatica 14 (1) (2010)
Stefan Leyk
Segmentation of Colour Layers in Historical Maps Based on Hierarchical Colour Sampling. GREC (2009)
Stefan Leyk, Ruedi Boesch, Robert Weibel
Saliency and semantic processing: Extracting forest cover from historical topographic maps. Pattern Recognit. 39 (5) (2006)
Stefan Leyk, Ruedi Boesch, Robert Weibel
A Conceptual Framework for Uncertainty Investigation in Map-based Land Cover Change Modelling. Trans. GIS 9 (3) (2005)
Stefan Leyk, Niklaus E. Zimmermann
A Predictive Uncertainty Model for Field-Based Survey Maps Using Generalized Linear Models. GIScience (2004)