Qingyu Li
Qingyu Li
確認したメール アドレス: tum.de
タイトル
引用先
引用先
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
172018
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
Remote Sensing 12 (4), 602, 2020
122020
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
112020
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
82017
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
72016
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, 2020
52020
Building Footprint Extraction with Graph Convolutional Network
Y Shi, Q Li, X Zhu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
BFGAN–building footprint extraction from satellite images
Y Shi, Q Li, XX Zhu
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
12019
Instance segmentation of buildings using keypoints
Q Li, L Mou, Y Hua, Y Sun, P Jin, Y Shi, XX Zhu
arXiv preprint arXiv:2006.03858, 2020
2020
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, XX Zhu
Remote Sensing 12 (21), 3537, 2020
2020
Detection of Undocumented Buildings using Convolutional Neural Network and Official Geodata
Q Li, Y Shi, S Auer, R Roschlaub, K Möst, M Schmitt, XX Zhu
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
2020
KI-basierte Detektion von Gebäuden mittels Deep Learning und amtlichen Geodaten zur Baufallerkundung
R Roschlaub, Q Li, S Auer, K Möst, C Glock, M Schmitt, Y Shi, X Zhu
ZFV-Zeitschrift für Geodasie, Geoinformation und Landmanagement, 180-189, 2020
2020
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