Observing Health Outcomes Using Remote Sensing Imagery and Geo-Context Guided Visual Transformer

arXiv:2602.00110 · cs.CV, cs.LG · Submitted 2026-01-26 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-01-26

Updated: 2026-09-06

Comments: 21 pages, 6 figures, 3 tables. Revised version incorporating peer-review comments. Published in IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/TGRS.2026.3725585

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 69× in this paper · explained in 2 episodes
• Guided attention — 17× in this paper · explained in 2 episodes
• Embeddings — 15× in this paper · explained in 2 episodes
• Interpretability — 11× in this paper · explained in 15 episodes
• Alignment — 10× in this paper · explained in 1 episode
• Accuracy — 8× in this paper · explained in 1 episode
• Explainability — 8× in this paper · explained in 3 episodes
• Geo-Context Guided Visual Transformer — 8× in this paper
• Attention Mechanism — 7× in this paper · explained in 3 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Robustness — 3× in this paper · explained in 5 episodes
• Semantic Alignment — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• American Community Survey — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Multimodal Learning — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• Adaptivity — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• BEiT: BERT Pre-Training of Image Transformers

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