vladan-stojnic/CMC-RSSR
This repository contains the code and models from the paper "Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding".
This tool helps remote sensing image analysts better understand and classify satellite or aerial imagery. It takes raw remote sensing images, including multispectral data, and processes them to generate advanced visual features. These features can then be used to more accurately identify land cover types, monitor environmental changes, or detect objects within the scenes.
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Use this if you need to extract meaningful, high-level visual information from large volumes of remote sensing images to improve scene classification or other image analysis tasks.
Not ideal if you're looking for an out-of-the-box solution that doesn't require familiarity with command-line tools or machine learning workflows.
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Python
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Last pushed
Feb 02, 2024
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