wgcban/HyperTransformer

[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

41
/ 100
Emerging

This project helps remote sensing professionals fuse low-resolution hyperspectral images with high-resolution panchromatic images to create a single, high-resolution hyperspectral image. It takes in a low-resolution hyperspectral image and a high-resolution panchromatic image, and outputs a high-resolution hyperspectral image with enhanced detail and spectral information. Remote sensing analysts, geoscientists, and urban planners would find this useful for tasks like land cover classification and environmental monitoring.

140 stars. No commits in the last 6 months.

Use this if you need to combine the detailed spatial information from a panchromatic image with the rich spectral data from a hyperspectral image to get a clearer, more informative single image.

Not ideal if you are looking for a simple, out-of-the-box tool without needing to work with Python environments and data processing scripts.

remote-sensing image-fusion hyperspectral-imaging satellite-imagery geospatial-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

140

Forks

17

Language

Python

License

MIT

Last pushed

Oct 19, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/wgcban/HyperTransformer"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.