This repository is a comprehensive, curated collection of deep learning techniques and best practices specifically applied to satellite and aerial imagery. It covers everything from preprocessing and annotation to model architectures and open datasets. The guide includes code snippets, links to research papers, and hands-on tools, making it valuable for researchers, engineers, and enthusiasts working in remote sensing and geospatial AI.
Features
- Covers model architectures for geospatial tasks
- Includes preprocessing and annotation methods
- Links to datasets and benchmarks
- Focuses on segmentation, detection, and classification
- Summarizes key papers and implementations
- Continuously updated with new tools and practices
Categories
Deep Learning FrameworksLicense
Apache License V2.0Follow Techniques
Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Techniques!