Automated terrain feature identification from remote sensing imagery: a deep learning approach W Li, CY Hsu International Journal of Geographical Information Science 34 (4), 637-660, 2020 | 127 | 2020 |
GeoAI for large-scale image analysis and machine vision: recent progress of artificial intelligence in geography W Li, CY Hsu ISPRS International Journal of Geo-Information 11 (7), 385, 2022 | 90 | 2022 |
Tobler’s First Law in GeoAI: A spatially explicit deep learning model for terrain feature detection under weak supervision W Li, CY Hsu, M Hu Annals of the American Association of Geographers 111 (7), 1887-1905, 2021 | 67 | 2021 |
Recognizing terrain features on terrestrial surface using a deep learning model: An example with crater detection W Li, B Zhou, CY Hsu, Y Li, F Ren Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning …, 2017 | 50 | 2017 |
Knowledge-driven GeoAI: Integrating spatial knowledge into multi-scale deep learning for Mars Crater detection CY Hsu, W Li, S Wang Remote Sensing 13 (11), 2116, 2021 | 47 | 2021 |
Explainable GeoAI: can saliency maps help interpret artificial intelligence’s learning process? An empirical study on natural feature detection CY Hsu, W Li International Journal of Geographical Information Science 37 (5), 963-987, 2023 | 41 | 2023 |
GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning W Li, S Wang, ST Arundel, CY Hsu GeoInformatica 27 (3), 619-640, 2023 | 22 | 2023 |
Assessment of a new GeoAI foundation model for flood inundation mapping W Li, H Lee, S Wang, CY Hsu, ST Arundel Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for …, 2023 | 18* | 2023 |
Segment anything model can not segment anything: Assessing ai foundation model’s generalizability in permafrost mapping W Li, CY Hsu, S Wang, Y Yang, H Lee, A Liljedahl, C Witharana, Y Yang, ... Remote Sensing 16 (5), 797, 2024 | 12 | 2024 |
Advancing arctic sea ice remote sensing with ai and deep learning: opportunities and challenges W Li, CY Hsu, M Tedesco Remote Sensing 16 (20), 3764, 2024 | 10* | 2024 |
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection CY Hsu, W Li 31st British Machine Vision Conference 2020, BMVC 2020, 2020 | 10 | 2020 |
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons W Li, CY Hsu, S Wang, C Witharana, A Liljedahl Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for …, 2022 | 9* | 2022 |
Geospatial foundation models for image analysis: Evaluating and enhancing NASA-IBM Prithvi’s domain adaptability CY Hsu, W Li, S Wang International Journal of Geographical Information Science, 1-30, 2024 | 7 | 2024 |
GeoAI Reproducibility and Replicability: a computational and spatial perspective W Li, CY Hsu, S Wang, P Kedron Annals of the American Association of Geographers 114 (9), 2085-2103, 2024 | 5 | 2024 |
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications D Szwarcman, S Roy, P Fraccaro, ÞE Gíslason, B Blumenstiel, R Ghosal, ... arXiv preprint arXiv:2412.02732, 2024 | 1 | 2024 |
STEPNet: A Spatial and Temporal Encoding Pipeline to handle Temporal Heterogeneity in Climate Modeling using AI: A Use Case of Sea Ice Forecasting S Wang, W Li, CY Hsu IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025 | | 2025 |
A Multi-Scale Vision Transformer-Based Multimodal Geoai Model for Mapping Arctic Permafrost Thaw Z Gu, W Li, CY Hsu, S Wang, Y Yang, BM Rogers, A Liljedahl Available at SSRN 4762408, 0 | | |