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Spacecube: A fast inverse hyperspectral georectification system

Published: January 8, 2026 | arXiv ID: 2601.05181v1

By: Thomas P. Watson, Eddie L. Jacobs

Potential Business Impact:

Makes special cameras map land faster and better.

Business Areas:
Image Recognition Data and Analytics, Software

Hyperspectral cameras provide numerous advantages in terms of the utility of the data captured. They capture hundreds of data points per sample (pixel) instead of only the few of RGB or multispectral camera systems. Aerial systems sense such data remotely, but the data must be georectified to produce consistent images before analysis. We find the traditional direct georectification method to be slow, and it is prone to artifacts. To address its downsides, we propose Spacecube, a program that implements a complete hyperspectral georectification pipeline, including our own fast inverse georectification technique, using OpenGL graphics programming technologies. Spacecube operates substantially faster than real-time and eliminates pixel coverage artifacts. It facilitates high quality interactive viewing, data exploration, and export of final products. We release Spacecube's source code publicly for the community to use.

Country of Origin
πŸ‡ΊπŸ‡Έ United States

Page Count
9 pages

Category
Electrical Engineering and Systems Science:
Image and Video Processing