36 citations · 62 across the 14 of their papers we have counts for
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cs.CV2023★ 36 cited
Assessment of a new GeoAI foundation model for flood inundation mapping
Wenwen Li, Hyunho Lee, Sizhe Wang +2
Vision foundation models are a new frontier in Geospatial Artificial Intelligence (GeoAI), an interdisciplinary research area that applies and extends AI for geospatial problem sol…
cs.CV2023
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features
Wenwen Li, Chia-Yu Hsu, Sizhe Wang +2
This paper introduces a real-time GeoAI workflow for large-scale image analysis and the segmentation of Arctic permafrost features at a fine-granularity. Very high-resolution (0.5m…
cs.CV2023
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection
Chia-Yu Hsu, Wenwen Li
Improving the interpretability of geospatial artificial intelligence (GeoAI) models has become critically important to open the "black box" of complex AI models, such as deep learn…