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
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
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
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
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
Using historical maps in scientific studies: Applications, challenges, and best practices
YY Chiang, W Duan, S Leyk, JH Uhl, CA Knoblock
Springer, 2020
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
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
Fine-grained, spatiotemporal 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 13 (1), 119-153, 2021
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
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
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, 2019
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), 1-14, 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
Towards a novel backdating strategy for creating built-up land time series data using contemporary spatial constraints
JH Uhl, S Leyk
Remote Sensing of Environment, 2019
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, ...
Available at SSRN, 2021
Building linked spatio-temporal data from vectorized historical maps
B Shbita, CA Knoblock, W Duan, YY Chiang, JH Uhl, S Leyk
European semantic web conference, 409-426, 2020
Automatic generation of precisely delineated geographic features from georeferenced historical maps using deep learning
W Duan, Y Chiang, CA Knoblock, S Leyk, J Uhl
Proceedings of the AutoCarto, 2018
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