| Classifying urban land use by integrating remote sensing and social media data X Liu, J He, Y Yao, J Zhang, H Liang, H Wang, Y Hong International Journal of Geographical Information Science 31 (8), 1675-1696, 2017 | 311 | 2017 |
| Mapping fine‐scale urban housing prices by fusing remotely sensed imagery and social media data Y Yao, J Zhang, Y Hong, H Liang, J He Transactions in GIS 22 (2), 561-581, 2018 | 76 | 2018 |
| Sensing urban land-use patterns by integrating Google Tensorflow and scene-classification models Y Yao, H Liang, X Li, J Zhang, J He arXiv preprint arXiv:1708.01580, 2017 | 28 | 2017 |
| Estimating the spatial resolution of very high-resolution overhead imagery H Liang, S Newsam Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for …, 2019 | 5 | 2019 |
| Estimating the spatial resolution of overhead imagery using convolutional neural networks H Liang, S Newsam 2019 IEEE International Conference on Image Processing (ICIP), 370-374, 2019 | 3 | 2019 |
| Plane Segmentation in Outdoor Imagery: Unsupervised Training Using Synthetic Data H Liang, S Newsam Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for …, 2023 | | 2023 |
| A Robust Framework to Estimate the Spatial Resolution of Overhead Images Using Off-the-Shelf Object Detectors H Liang, S Newsam 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8229 …, 2021 | | 2021 |
Yao YaoChina University of Geosciences (Wuhan); University of TokyoVerified email at csis.u-tokyo.ac.jp
