July 6, 2026Guides
Seeing beyond the bands
Where hyperspectral analysis diverges from multispectral — and what that divergence reveals about a crop. Measured on real scenes.
June 23, 2026Guides
Automated Classification of Waste Wood Composites: An Evaluation of Hyperspectral Imaging and Deep Learning Pipelines
New collaborative research between UBC and Metaspectral evaluates near-infrared hyperspectral imaging and deep learning pipelines for automated classification of post-consumer waste wood composites, achieving up to 100% accuracy under controlled conditions and 91.2% on real landfill material.
October 20, 2023Guides
A Comprehensive Introduction to Hyperspectral Data: Unveiling the Unseen (Part I)
As we continue to push the boundaries of technology and innovation, we often find ourselves exploring realms beyond the visible, diving deep into the world of the unseen. Today, we embark on a captivating journey to understand a fascinating subject that is transforming our perception of the world: Hyperspectral Data. This post marks the beginning of a comprehensive 5-part series where we will dissect, understand, and appreciate the intricacies of this remarkable technology.
Resource archive
| Jan 4, 2023Guides | How Hyperspectral Imaging is Revolutionizing Industrial Recycling | Francis Doumet |
| Nov 9, 2022Guides | Rust Detection with Hyperspectral Imaging | Francis Doumet |
| Nov 9, 2022Guides | Imagining the Possibilities: Hyperspectral Imaging in Agriculture | Francis Doumet |
| Nov 7, 2022Guides | What is hyperspectral imaging and why does it matter? | Francis Doumet |
| Nov 7, 2022Guides | Benefits of Hyperspectral Data Analysis for Plastic Recycling | Francis Doumet |