Thomas Stark
Thomas Stark
Signal Processing in Earth Observation, Technical University of Munich
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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
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
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
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
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
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
YOLO object detection models can locate and classify broad groups of flower-visiting arthropods in images
T Stark, V Stefan, M Wurm, R Spanier, H Taubenboeck, TM Knight
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