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Thomas Stark
Thomas Stark
Signal Processing in Earth Observation, Technical University of Munich
Verified email at tum.de
Title
Cited by
Cited by
Year
Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
M Wurm, T Stark, XX Zhu, M Weigand, H Taubenböck
ISPRS journal of photogrammetry and remote sensing 150, 59-69, 2019
3322019
Satellite-based mapping of urban poverty with transfer-learned slum morphologies
T Stark, M Wurm, XX Zhu, H Taubenböck
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
492020
Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN
D Stiller, T Stark, M Wurm, S Dech, H Taubenböck
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
292019
Slum mapping in imbalanced remote sensing datasets using transfer learned deep features
T Stark, M Wurm, H Taubenböck, XX Zhu
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
182019
Using deep convolutional neural networks for the identification of informal settlements to improve a sustainable development in urban environments
T Stark
Technische Universität München, 2018
112018
Modelling the impact of the urban spatial structure on the choice of residential location using ‘big earth data’and machine learning
M Wurm, M Weigand, T Stark, J Goebel, GG Wagner, H Taubenböck
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
62019
Spatial parameters for transportation
D Stiller, P d’Angelo, H Taubenböck, M Wurm, K Stebner, T Stark, S Dech
Journal of Transport and Land Use 14 (1), 777-803, 2021
52021
YOLO object detection models can locate and classify broad groups of flower-visiting arthropods in images
T Stark, V Ştefan, M Wurm, R Spanier, H Taubenböck, TM Knight
Scientific Reports 13 (1), 16364, 2023
22023
Efficiency of CNNs for building extraction: Comparative analysis of performance and time
D Stiller, T Stark, V Strobl, M Leupold, M Wurm, H Taubenböck
2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023
22023
Quantifying Uncertainty in Slum Detection: Advancing Transfer-Learning with Limited Data in Noisy Urban Environments
T Stark, M Wurm, XX Zhu, H Taubenbock
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
2024
Using CNNs on Sentinel-2 data for road traffic noise modelling
J Staab, T Stark, M Wurm, K Wolf, M Dallavalle, A Schady, T Lakes, ...
2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023
2023
Detecting challenging urban environments using a few-shot meta-learning approach
T Stark, M Wurm, XX Zhu, H Taubenböck
2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023
2023
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