Yu Feng

Yu Feng, Yiming, Xu, Yan Xia, Claus Brenner, Monika Sester (2024): Gap completion in point cloud scene occluded by vehicles using SGC-Net,  ISPRS Journal of Photogrammetry and Remote Sensing, Vol.215, 331-350
DOI: https://doi.org/10.1016/j.isprsjprs.2024.07.009

Yu Feng, Qing Xiao, Claus Brenner, Aaron Peche, Juntao Yang, Udo Feuerhake, Monika Sester (2022): Determination of building flood risk maps from LiDAR mobile mapping data,  Computers, Environment and Urban Systems, Volume 93, 2022
DOI: 10.1016/j.compenvurbsys.2022.101759
ISSN: 0198-9715

V. Rözer, A. Peche, S. Berkhahn, Y. Feng, L. Fuchs, T. Graf, U. Haberlandt, H. Kreibich, R. Sämann, M. Sester, B. Shehu, J. Wahl, I. Neuweiler (2021): Impact‐based forecasting for pluvial floods,  Earth's Future, e2020EF001851.
DOI: 10.1029/2020EF001851

Feng, Y., Brenner, C., & Sester, M. (2020): Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey,  ISPRS Journal of Photogrammetry and Remote Sensing, 169, 301-319.
DOI: 10.1016/j.isprsjprs.2020.09.011
arXiv: 2006.11802

Feng, Y., Thiemann, F., & Sester, M. (2019): Learning Cartographic Building Generalization with Deep Convolutional Neural Networks,  ISPRS Int. J. Geo-Inf. 2019, 8(6), 258
DOI: 10.3390/ijgi8060258

Feng, Y. and M. Sester (2018): Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos,  ISPRS International Journal of Geo-Information 7(2),39
DOI: 10.3390/ijgi7020039

Vinu Kamalasanan, Yu Feng, and Monika Sester. (2022): IMPROVING 3D PEDESTRIAN DETECTION FOR WEARABLE SENSOR DATA WITH 2D HUMAN POSE,  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2022): 219-226. | Datei |

Feng, Y., Brenner, C., & Sester, M. (2020): Learning a Precipitation Indicator from Traffic Speed Variation Patterns,  Transportation Research Procedia, 47, 203-210.
DOI: 10.1016/j.trpro.2020.03.090

Feng, Y., Brenner, C., & Sester, M. (2018): Enhancing the resolution of urban digital terrain models using mobile mapping systems,  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W6 (2018), S. 11-18.
DOI: 10.5194/isprs-annals-IV-4-W6-11-2018

Feng, Y., M. Sester (2017): Social media as a rainfall indicator,  Bregt, A., Sarjakoski, T., Lammeren, R. van, Rip, F. (Eds.). Societal Geo-Innovation : short papers, posters and poster abstracts of the 20th AGILE Conference on Geographic Information Science | Datei |

Feng, Y., Yang, C., & Sester, M. (2020): Multi-scale Building Maps from Aerial Imagery,  International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 41-47.
DOI: 10.5194/isprs-archives-XLIII-B3-2020-41-2020

Feng, Y., Tang, S., Cheng, H., Sester, M. (2019): Flood level estimation from news articles and flood detection from satellite image sequences,  Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia-Antipolis, France, 27-29 October 2019. Weitere Informationen

Feng, Y., Shebotnov, S., Brenner, C., Sester, M. (2018): Ensembled convolutional neural network models for retrieving flood relevant tweets,  Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018. Weitere Informationen

Fuchs, L. Graf, T., Haberlandt, U. Kreibich, H., Neuweiler, I. Sester, M. Berkhahn, S. Feng, Y. Peche, A., Rözer, V., Sämann, R.; Shehu, B., Wahl, J. (2018): Echtzeitvorhersage urbaner Sturzfluten und damit verbundene Wasserkontaminationen,  AquaUrbanica 2018, Schriftenreihe Wasser Infrastruktur Ressourcen, Band 1, TU Kaiserslautern. | Datei |

Sester, M., Feng, Y., & Thiemann, F. (2018): Building Generalization using Deep Learning,  Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 565-572, 2018.
DOI: 10.5194/isprs-archives-XLII-4-565-2018

Fuchs, L., T. Graf, U. Haberlandt, H. Kreibich, I. Neuweiler, M. Sester, S. Berkhahn, Y. Feng, A. Peche, V. Rözer, R. Sämann, B. Shehu, J. Wahl (2017): Real-Time Prediction of Pluvial Floods and Induced Water Contamination,  17th International Conference on Urban Drainage, 9/2017, Prague | Datei |

Feng, Y. and Schlichting, A. and Brenner, C. (2016): 3D feature point extraction from LiDAR data using a neural network,  ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B1, pp. 563-569
DOI: 10.5194/isprs-archives-XLI-B1-563-2016

Yu Feng (2021): Extraction of Flood and Precipitation Observations from Opportunistic Volunteered Geographic Information,  Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften Reihe C, Dissertationen, Heft Nr. 882, München 2021 Weitere Informationen
ISBN: 978-3-7696-5294-9
ISSN: 0065-5325

Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester (2021): Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention,  ArXiv Weitere Informationen
arXiv: 2105.03891

Viktor Rözer, Aaron Peche, Simon Berkhahn, Yu Feng, Lothar Fuchs, Thomas Graf, Uwe Haberlandt, Heidi Kreibich, Robert Sämann, Monika Sester, Bora Shehu, Julian Wahl, Insa Neuweiler (2020): Impact-based early warning for pluvial floods,  EGU General Assembly Conference Abstracts (p. 10507)

Fuchs, L. Graf, T., Haberlandt, U. Kreibich, H., Neuweiler, I. Sester, M. Berkhahn, S. Feng, Y. Peche, A., Rözer, V., Sämann, R.; Shehu, B., Wahl, J. (2018): Echtzeitvorhersage von Überflutung, Schadstofftransport und Schäden für Sturzflutereignisse am Beispiel Oberricklingen in Hannover,  Forum für Hydrologie und Wasserbewirtschaftung, Heft 40, 2018 | Datei |