EscVM/RAMS
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
This project helps deep learning practitioners improve the resolution of satellite imagery. It takes multiple low-resolution satellite images of the same area and outputs a single, clearer high-resolution image. This is ideal for researchers and developers working on advanced computer vision tasks with real-world impact, especially in remote sensing.
Use this if you are a deep learning practitioner interested in multi-image super-resolution for remote sensing data and need easy access to a unique dataset and a high-performing baseline model.
Not ideal if you are looking for a simple, out-of-the-box tool for general image upscaling or if you are not familiar with deep learning frameworks like TensorFlow.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Jan 10, 2026
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