Techniques

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

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Apache License V2.0

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Linux, Mac, Windows

Registered

2025-07-02

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Techniques

Techniques for deep learning with satellite & aerial imagery

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