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 | 17 | 2018 |
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 | 12 | 2020 |
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 | 11 | 2020 |
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 | 8 | 2017 |
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 | 7 | 2016 |
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 | 5 | 2020 |
Building Footprint Extraction with Graph Convolutional Network Y Shi, Q Li, X Zhu IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 1 | 2019 |
BFGAN–building footprint extraction from satellite images Y Shi, Q Li, XX Zhu 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 1 | 2019 |
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 |