What changes when you bring a super-resolution GAN out of natural images into multiband satellite data.
The problem
Sentinel-2 gives you 13 bands at different ground resolutions. Pretrained ESRGANs assume 3-channel RGB inputs — that breaks fast.
What worked
A domain-specific perceptual loss using a feature extractor trained on multiband patches.
This is paragraph 1. Data science work is part craft and part discipline — the best models are simple, well-validated, and easy to explain. In this post we walk through the intuition, the math just enough to be useful, and a clean implementation you can drop into your own pipeline.
This is paragraph 2. Data science work is part craft and part discipline — the best models are simple, well-validated, and easy to explain. In this post we walk through the intuition, the math just enough to be useful, and a clean implementation you can drop into your own pipeline.