How satellite-image-deep-learning/techniques works
This repository is a curated guide to deep learning for satellite and aerial imagery, not an implementation or processing pipeline. A reader uses the README as a searchable index of techniques and follows links to topic-specific resources. The README documents a broad set of capabilities; the available tree and excerpt do not show the linked techniques index or its underlying resources, so those connections are represented only at the index level.
Main entry points: README.md README guide
Components 20
Image tasks
- Classification
README.md - Segmentation
README.md - Object detection
README.md - Regression
README.md - Cloud detection
README.md
Temporal and agriculture
- Change detection
README.md - Time series
README.md - Crop classification
README.md - Crop forecasting
README.md
Learning methods
- Generative networks
README.md - Embeddings and similarity
README.md - Few-shot learning
README.md - Self-supervised learning
README.md - Explainable AI
README.md
Modalities and models
- SAR
README.md - Vision-language models
README.md - Foundational models
README.md
Other components
- Reader
- README guide
README.md - Techniques index
Connections 19
- Reader → README guide: searches
- README guide → Techniques index: links to
- Techniques index → Classification: indexes
- Techniques index → Segmentation: indexes
- Techniques index → Object detection: indexes
- Techniques index → Regression: indexes
- Techniques index → Cloud detection: indexes
- Techniques index → Change detection: indexes
- Techniques index → Time series: indexes
- Techniques index → Crop classification: indexes
- Techniques index → Crop forecasting: indexes
- Techniques index → Generative networks: indexes
- Techniques index → Embeddings and similarity: indexes
- Techniques index → Few-shot learning: indexes
- Techniques index → Self-supervised learning: indexes
- Techniques index → Explainable AI: indexes
- Techniques index → SAR: indexes
- Techniques index → Vision-language models: indexes
- Techniques index → Foundational models: indexes