| SNUNet-CD: A densely connected Siamese network for change detection of VHR images S Fang, K Li, J Shao, Z Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 480 | 2021 |
| A machine learning-based classification system for urban built-up areas using multiple classifiers and data sources L Sun, L Tang, G Shao, Q Qiu, T Lan, J Shao Remote Sensing 12 (1), 91, 2019 | 26 | 2019 |
| BDD-Net: A general protocol for mapping buildings damaged by a wide range of disasters based on satellite imagery J Shao, L Tang, M Liu, G Shao, L Sun, Q Qiu Remote sensing 12 (10), 1670, 2020 | 25 | 2020 |
| Comparative analysis of multi-platform, multi-resolution, multi-temporal LiDAR data for forest inventory YC Lin, J Shao, SY Shin, Z Saka, M Joseph, R Manish, S Fei, A Habib Remote Sensing 14 (3), 649, 2022 | 16 | 2022 |
| Optimal visual perception in land-use planning and design based on landsenses ecology J Shao, Q Qiu, Y Qian, L Tang International Journal of Sustainable Development & World Ecology 27 (3), 233-239, 2020 | 11 | 2020 |
| An improved method of determining human population distribution based on Luojia 1-01 nighttime light imagery and road network data—A case study of the city of Shenzhen Q Zhou, Y Zheng, J Shao, Y Lin, H Wang Sensors 20 (18), 5032, 2020 | 8 | 2020 |
| LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application Y Lu, Z Sun, J Shao, Q Guo, Y Huang, S Fei, V Chen arXiv preprint arXiv:2402.04546, 2024 | 1 | 2024 |
| Strengthening Machine Learning Reproducibility for Image Classification. G Shao, H Zhang, J Shao, K Woeste, L Tang Adv. Artif. Intell. Mach. Learn. 2 (4), 471-476, 2022 | 1 | 2022 |
| Semantic Segmentation of UAV LIDAR Data for Tree Plantations J Shao, A Habib, S Fei The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2023 | | 2023 |
| Radiometric and Geometric Approach for Major Woody Parts Segmentation in Forest LiDAR Point Clouds J Shao, YT Cheng, Y Koshan, R Manish, A Habib, S Fei IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
Songlin FeiForestry and Natural Resources, Purdue UniversityVerified email at purdue.edu
