An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images X Huang, Y Cao, J Li Remote Sensing of Environment 244, 111802, 2020 | 127 | 2020 |
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities Y Cao, X Huang Remote Sensing of Environment 264, 112590, 2021 | 124 | 2021 |
High-resolution urban land-cover mapping and landscape analysis of the 42 major cities in China using ZY-3 satellite images X Huang, Y Wang, J Li, X Chang, Y Cao, J Xie, J Gong Science Bulletin 65 (12), 1039-1048, 2020 | 73 | 2020 |
A coarse-to-fine weakly supervised learning method for green plastic cover segmentation using high-resolution remote sensing images Y Cao, X Huang ISPRS Journal of Photogrammetry and Remote Sensing 188, 157-176, 2022 | 58 | 2022 |
The turning point between urban vegetation and artificial surfaces for their competitive effect on land surface temperature Y Liu, X Huang, Q Yang, Y Cao Journal of Cleaner Production 292, 126034, 2021 | 44 | 2021 |
A full-level fused cross-task transfer learning method for building change detection using noise-robust pretrained networks on crowdsourced labels Y Cao, X Huang Remote Sensing of Environment 284, 113371, 2023 | 37 | 2023 |
Global assessment of urban trees’ cooling efficiency based on satellite observations Q Yang, X Huang, X Tong, C Xiao, J Yang, Y Liu, Y Cao Environmental Research Letters 17 (3), 034029, 2022 | 33 | 2022 |
A multi-scale weakly supervised learning method with adaptive online noise correction for high-resolution change detection of built-up areas Y Cao, X Huang, Q Weng Remote Sensing of Environment 297, 113779, 2023 | 28 | 2023 |
A deep learning-based super-resolution method for building height estimation at 2.5 m spatial resolution in the Northern Hemisphere Y Cao, Q Weng Remote Sensing of Environment 310, 114241, 2024 | 8 | 2024 |
Assessing potential bioenergy production on urban marginal land in 20 major cities of China by the use of multi-view high-resolution remote sensing data B Zhang, J Yang, Y Cao Sustainability 13 (13), 7291, 2021 | 4 | 2021 |
How will ai transform urban observing, sensing, imaging, and mapping? Q Weng, Z Li, Y Cao, X Lu, P Gamba, X Zhu, Y Xu, F Zhang, R Qin, ... npj Urban Sustainability 4 (1), 50, 2024 | 1 | 2024 |
An end-to-end point-supervised method for semantic segmentation of high-resolution remote sensing images Y Cao, Q Weng 2024 IEEE International Geoscience and Remote Sensing Symposium, 3398-3401, 2024 | | 2024 |
Generating Hourly 70-M Land Surface Temperature from GOES-R Observations: A Comparison of Statistical Downscaling and Deep Learning Methods Y Chang, Y Cao, Q Weng IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |