Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward

D Tuia, K Schindler, B Demir, XX Zhu… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Earth observation (EO) is increasingly used for map** and monitoring processes
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …

When Geoscience Meets Foundation Models: Toward a general geoscience artificial intelligence system

H Zhang, JJ Xu, HW Cui, L Li, Y Yang… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …

Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery

AV Huynh, LE Gillespie, J Lopez-Saucedo… - … on Computer Vision, 2024 - Springer
Multimodal image-text contrastive learning has shown that joint representations can be
learned across modalities. Here, we show how leveraging multiple views of image data with …

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

F Xu, Q Hao, Z Zong, J Wang, Y Zhang, J Wang… - ar**
YC Chang, AJ Stewart, F Bastani, P Wolters… - arxiv preprint arxiv …, 2024 - arxiv.org
Foundation models pre-trained using self-supervised and weakly-supervised learning have
shown powerful transfer learning capabilities on various downstream tasks, including …