Spacecube: A fast inverse hyperspectral georectification system

Read full text
Authors: Thomas P. Watson, Eddie L. Jacobs
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Remote-Sensing Image Classification Satellite Image Processing and Photogrammetry Advanced Image Fusion Techniques

Publication details

Journal / source
arXiv (Cornell University)
Publication date
8 January 2026
Document type
Preprint