Qingyu Li

Qingyu Li

Researcher in Technical University of Munich, expert in remote sensing and deep learning

Publications

A Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes

Published in IEEE Transactions on Geoscience and Remote Sensing, 2024

This paper is about review of building extraction from optical and SAR imagery.

Recommended citation: Li, Qingyu, LiChao Mou, Yao Sun, Yuansheng Hua, Yilei Shi, and Xiao Xiang Zhu. "A Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes." IEEE Transactions on Geoscience and Remote Sensing (2024). https://doi.org/10.1109/TGRS.2024.3369723

3DCentripetalNet: Building height retrieval from monocular remote sensing imagery

Published in International Journal of Applied Earth Observation and Geoinformation, 2023

This paper is about building height retrieval.

Recommended citation: Li, Qingyu, Lichao Mou, Yuansheng Hua, Yilei Shi, Sining Chen, Yao Sun and Xiao Xiang Zhu. "3DCentripetalNet: Building height retrieval from monocular remote sensing imagery." International Journal of Applied Earth Observation and Geoinformation 120 (2023): 103311. https://doi.org/10.1016/j.jag.2023.103311

SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery

Published in International Journal of Applied Earth Observation and Geoinformation, 2022

This paper is about rooftop solar potential analysis.

Recommended citation: Li, Qingyu, Sebastian Krapf, Yilei Shi, and Xiao Xiang Zhu. "SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery." International Journal of Applied Earth Observation and Geoinformation 116 (2023): 103098. https://doi.org/10.1016/j.jag.2022.103098

Feature and Output Consistency Training for Semi-Supervised Building Footprint Generation

Published in 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022

This paper is about building footprint generation.

Recommended citation: Li, Qingyu, Yilei Shi, and Xiao Xiang Zhu. "Feature and Output Consistency Training for Semi-Supervised Building Footprint Generation." In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 171-174. IEEE, 2022. https://doi.org/10.1109/IGARSS46834.2022.9883979

Identification of undocumented buildings in cadastral data using remote sensing: Construction period, morphology, and landscape

Published in International Journal of Applied Earth Observation and Geoinformation, 2022

This paper is about urban analysis.

Recommended citation: Li, Qingyu, Hannes Taubenböck, Yilei Shi, Stefan Auer, Robert Roschlaub, Clemens Glock, Anna Kruspe, and Xiao Xiang Zhu. "Identification of undocumented buildings in cadastral data using remote sensing: Construction period, morphology, and landscape." International Journal of Applied Earth Observation and Geoinformation 112 (2022): 102909. https://doi.org/10.1016/j.jag.2022.102909

CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions

Published in International Journal of Applied Earth Observation and Geoinformation, 2022

This paper is about building footprint generation.

Recommended citation: Li, Qingyu, Lichao Mou, Yuansheng Hua, Yilei Shi, and Xiao Xiang Zhu. "CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions." International Journal of Applied Earth Observation and Geoinformation 111 (2022): 102824. https://doi.org/10.1016/j.jag.2022.102824

RegGAN: An End-to-End Network for Building Footprint Generation with Boundary Regularization

Published in Remote Sensing, 2022

This paper is about building footprint generation.

Recommended citation: Li, Qingyu, Stefano Zorzi, Yilei Shi, Friedrich Fraundorfer, and Xiao Xiang Zhu. "RegGAN: An End-to-End Network for Building Footprint Generation with Boundary Regularization." Remote Sensing 14, no. 8 (2022): 1835." IEEE Transactions on Geoscience and Remote Sensing 58, no. 11 (2020): 7502-7519. https://doi.org/10.3390/rs14081835

End-to-End Semantic Segmentation and Boundary Regularization of Buildings from Satellite Imagery

Published in 2021 IEEE International Geoscience and Remote Sensing Symposium, 2021

This paper is about building footprint generation.

Recommended citation: Li, Qingyu, Stefano Zorzi, Yilei Shi, Friedrich Fraundorfer, and Xiao Xiang Zhu. "End-to-End Semantic Segmentation and Boundary Regularization of Buildings from Satellite Imagery." In IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium, pp. 2508-2511. IEEE, 2021. https://doi.org/10.1109/IGARSS47720.2021.9555147

Building footprint generation through convolutional neural networks with attraction field representation

Published in IEEE Transactions on Geoscience and Remote Sensing, 2021

This paper is about building footprint generation.

Recommended citation: Li, Qingyu, Lichao Mou, Yuansheng Hua, Yilei Shi, and Xiao Xiang Zhu. "Building footprint generation through convolutional neural networks with attraction field representation." IEEE Transactions on Geoscience and Remote Sensing 60 (2021): 1-17. https://doi.org/10.1109/TGRS.2021.3109844

Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural Network

Published in Remote Sensing, 2020

This paper is about undocumented building detection.

Recommended citation: Li, Qingyu, Yilei Shi, Stefan Auer, Robert Roschlaub, Karin Möst, Michael Schmitt, Clemens Glock, and Xiaoxiang Zhu. "Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural Network." Remote Sensing 12, no. 21 (2020): 3537. https://doi.org/10.3390/rs12213537

Instance segmentation of buildings using keypoints

Published in 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020

This paper is about building footprint generation.

Recommended citation: Li, Qingyu, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, and Xiao Xiang Zhu. "Instance segmentation of buildings using keypoints." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 1452-1455. IEEE, 2020. https://doi.org/10.1109/IGARSS39084.2020.9324457

Detection of Undocumented Buildings using Convolutional Neural Network and Official Geodata

Published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020

This paper is about undocumented building detection.

Recommended citation: Li, Qingyu, Yilei Shi, Stefan Auer, Robert Roschlaub, Karin Möst, Michael Schmitt, and Xiao Xiang Zhu. "Detection of Undocumented Buildings using Convolutional Neural Network and Official Geodata." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2 (2020): 517-524. https://doi.org/10.5194/isprs-annals-V-2-2020-517-2020

Building footprint generation by integrating convolution neural network with feature pairwise conditional random field (FPCRF)

Published in IEEE Transactions on Geoscience and Remote Sensing, 2020

This paper is about building footprint generation.

Recommended citation: Li, Qingyu, Yilei Shi, Xin Huang, and Xiao Xiang Zhu. "Building footprint generation by integrating convolution neural network with feature pairwise conditional random field (FPCRF)." IEEE Transactions on Geoscience and Remote Sensing 58, no. 11 (2020): 7502-7519. https://doi.org/10.1109/TGRS.2020.2973720