Johannes H. Uhl
Cited by
Cited by
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
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
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
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
Using historical maps in scientific studies
YY Chiang, W Duan, S Leyk, JH Uhl, CA Knoblock
Springer,, 2020
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
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
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
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
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 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
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
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
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
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
Training deep learning models for geographic feature recognition from historical maps
YY Chiang, W Duan, S Leyk, JH Uhl, CA Knoblock
Using Historical Maps in Scientific Studies, 65-98, 2020
The system can't perform the operation now. Try again later.
Articles 1–20