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Qingyu Li
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Building segmentation through a gated graph convolutional neural network with deep structured feature embedding
Y Shi, Q Li, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 159, 184-197, 2020
1082020
Mapping the land cover of Africa at 10 m resolution from multi-source remote sensing data with Google Earth Engine
Q Li, C Qiu, L Ma, M Schmitt, XX Zhu
Remote Sensing 12 (4), 602, 2020
832020
Building footprint generation by integrating convolution neural network with feature pairwise conditional random field (FPCRF)
Q Li, Y Shi, X Huang, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 58 (11), 7502-7519, 2020
782020
Building footprint generation using improved generative adversarial networks
Y Shi, Q Li, XX Zhu
IEEE Geoscience and Remote Sensing Letters 16 (4), 603-607, 2018
502018
Building footprint generation through convolutional neural networks with attraction field representation
Q Li, L Mou, Y Hua, Y Shi, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021
242021
Instance segmentation of buildings using keypoints
Q Li, L Mou, Y Hua, Y Sun, P Jin, Y Shi, XX Zhu
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
232020
Integrating multiple textural features for remote sensing image change detection
Q Li, X Huang, D Wen, H Liu
Photogrammetric Engineering & Remote Sensing 83 (2), 109-121, 2017
192017
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training
Q Li, Y Shi, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 2022
172022
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions
Q Li, LC Mou, Y Hua, Y Shi, XX Zhu
International Journal of Applied Earth Observation and Geoinformation, 2022
122022
Assessing and improving the accuracy of GlobeLand30 data for urban area delineation by combining multisource remote sensing data
X Huang, Q Li, H Liu, J Li
IEEE Geoscience and Remote Sensing Letters 13 (12), 1860-1864, 2016
122016
Detection of undocumented building constructions from official geodata using a convolutional neural network
Q Li, Y Shi, S Auer, R Roschlaub, K Möst, M Schmitt, C Glock, X Zhu
Remote Sensing 12 (21), 3537, 2020
102020
Identification of undocumented buildings in cadastral data using remote sensing: Construction period, morphology, and landscape
Q Li, H Taubenböck, Y Shi, S Auer, R Roschlaub, C Glock, A Kruspe, ...
International Journal of Applied Earth Observation and Geoinformation 112 …, 2022
82022
SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery
Q Li, S Krapf, Y Shi, XX Zhu
International Journal of Applied Earth Observation and Geoinformation 116 …, 2023
72023
RegGAN: An end-to-end network for building footprint generation with boundary regularization
Q Li, S Zorzi, Y Shi, F Fraundorfer, XX Zhu
Remote Sensing 14 (8), 1835, 2022
72022
Mask-height R-CNN: An end-to-end network for 3D building reconstruction from monocular remote sensing imagery
S Chen, L Mou, Q Li, Y Sun, XX Zhu
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1202 …, 2021
62021
Building footprint extraction with graph convolutional network
Y Shi, Q Li, X Zhu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
62019
3DCentripetalNet: Building height retrieval from monocular remote sensing imagery
Q Li, L Mou, Y Hua, Y Shi, S Chen, Y Sun, XX Zhu
International Journal of Applied Earth Observation and Geoinformation 120 …, 2023
42023
End-to-end semantic segmentation and boundary regularization of buildings from satellite imagery
Q Li, S Zorzi, Y Shi, F Fraundorfer, XX Zhu
2021 IEEE international geoscience and remote sensing symposium IGARSS, 2508 …, 2021
42021
BFGAN–building footprint extraction from satellite images
Y Shi, Q Li, XX Zhu
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
42019
Feature and output consistency training for semi-supervised building footprint generation
Q Li, Y Shi, XX Zhu
IGARSS 2022-2022 IEEE International Geoscience And Remote Sensing Symposium …, 2022
32022
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