Tackling fluffy clouds: robust agricultural field boundary delineation from Sentinel-1 and Sentinel-2 satellite image time series

arXiv:2409.13568 · cs.CV · Submitted 2024-09-20 · Read on arXiv

cs.CV

Submitted: 2024-09-20

Updated: 2026-09-23

Code: https://github.com/feevos/tfcl

Terminology

• Benchmark — 19× in this paper · explained in 2 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Transferability — 8× in this paper · explained in 4 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• alpha — 7× in this paper · explained in 1 episode
• Instance Segmentation — 6× in this paper · explained in 3 episodes
• Adaptability — 5× in this paper · explained in 1 episode
• Attention Mechanism — 5× in this paper · explained in 2 episodes
• False Discovery Rate — 5× in this paper
• Mean Surface Distance — 5× in this paper
• Satellite Image Time Series — 5× in this paper
• Transformer Architecture — 5× in this paper · explained in 2 episodes
• Anisotropy — 4× in this paper · explained in 3 episodes
• Open Data Cube — 4× in this paper
• Temporal Correlations — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Cross-Attention Mechanism — 3× in this paper · explained in 2 episodes
• False Omission Rate — 3× in this paper
• Fields of The World — 3× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Matthews Correlation Coefficient — 2× in this paper
• Segmentation Masks — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Ground Range Detected — 1× in this paper
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Positional Bias — 1× in this paper · explained in 2 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Single Look Complex — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
• SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

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