jakhac/CSMAE
Cross-Sensor Masked Autoencoder for Content Based Image Retrieval in Remote Sensing
This project helps remote sensing analysts and researchers find similar images across different types of satellite sensors. You input a remote sensing image, and it outputs a list of similar images from a large dataset, even if they were captured by a different sensor. This is designed for professionals working with satellite imagery who need to perform content-based image retrieval.
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Use this if you need to efficiently find images with similar content from a vast archive of satellite data, regardless of the sensor that originally captured them.
Not ideal if you are looking for a ready-to-use application and do not have experience with machine learning model training and evaluation.
Stars
27
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4
Language
Python
License
MIT
Category
Last pushed
Dec 18, 2024
Commits (30d)
0
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