Johannes H. Uhl
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Modifications in the SIFT operator for effective SAR image matching
S Suri, P Schwind, J Uhl, P Reinartz
International Journal of Image and Data Fusion 1 (3), 243-256, 2010
Assessing the accuracy of multi-temporal built-up land layers across rural-urban trajectories in the United States
S Leyk, JH Uhl, D Balk, B Jones
Remote sensing of environment 204, 898-917, 2018
Two centuries of settlement and urban development in the United States
S Leyk, JH Uhl, DS Connor, AE Braswell, N Mietkiewicz, JK Balch, ...
Science advances 6 (23), eaba2937, 2020
HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years
S Leyk, JH Uhl
Scientific data 5 (1), 1-14, 2018
Combining mutual information and scale invariant feature transform for fast and robust multisensor SAR image registration
S Suri, P Schwind, P Reinartz, J Uhl
American Society of Photogrammetry and Remote Sensing, 2009
Map archive mining: visual-analytical approaches to explore large historical map collections
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
ISPRS international journal of geo-information 7 (4), 148, 2018
Using historical maps in scientific studies: Applications, challenges, and best practices
YY Chiang, W Duan, S Leyk, JH Uhl, CA Knoblock
Springer, 2020
Automated extraction of human settlement patterns from historical topographic map series using weakly supervised convolutional neural networks
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
IEEE Access 8, 6978-6996, 2019
Extracting human settlement footprint from historical topographic map series using context-based machine learning
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
8th International Conference of Pattern Recognition Systems (ICPRS 2017), 1-6, 2017
Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning
W Duan, YY Chiang, S Leyk, JH Uhl, CA Knoblock
International Journal of Geographical Information Science 34 (4), 824-849, 2020
Road network evolution in the urban and rural United States since 1900
K Burghardt, JH Uhl, K Lerman, S Leyk
Computers, Environment and Urban Systems 95, 101803, 2022
Studying the impacts of environmental amenities and hazards with nationwide property data: best data practices for interpretable and reproducible analyses
C Nolte, KJ Boyle, AM Chaudhry, CM Clapp, D Guignet, H Hennighausen, ...
WVU College of Law Research Paper, 2021
Automatic alignment of geographic features in contemporary vector data and historical maps
W Duan, YY Chiang, CA Knoblock, V Jain, D Feldman, JH Uhl, S Leyk
Proceedings of the 1st workshop on artificial intelligence and deep learning…, 2017
Fine-grained, spatio-temporal datasets measuring 200 years of land development in the United States
JH Uhl, S Leyk, CM McShane, AE Braswell, DS Connor, D Balk
Earth System Science Data Discussions 2020, 1-43, 2020
Combining remote-sensing-derived data and historical maps for long-term back-casting of urban extents
JH Uhl, S Leyk, Z Li, W Duan, B Shbita, YY Chiang, CA Knoblock
Remote sensing 13 (18), 3672, 2021
Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
IET Image Processing 12 (11), 2084-2091, 2018
Towards the automated large-scale reconstruction of past road networks from historical maps
JH Uhl, S Leyk, YY Chiang, CA Knoblock
Computers, environment and urban systems 94, 101794, 2022
A century of decoupling size and structure of urban spaces in the United States
JH Uhl, DS Connor, S Leyk, AE Braswell
Communications earth & environment 2 (1), 20, 2021
Exposing the urban continuum: Implications and cross-comparison from an interdisciplinary perspective
JH Uhl, H Zoraghein, S Leyk, D Balk, C Corbane, V Syrris, AJ Florczyk
International journal of digital earth, 2018
Framework for agricultural performance assessment based on MODIS multitemporal data
D Dimov, F Lw, JH Uhl, S Kenjabaev, O Dubovyk, M Ibrakhimov, ...
Journal of Applied Remote Sensing 13 (2), 025501-025501, 2019
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