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Thomas Stark
Thomas Stark
Signal Processing in Earth Observation, Technical University of Munich
Adresse e-mail validée de tum.de
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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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