July 4, 2026Research

Evaluating Deep Learning Spectral Unmixing From Pure Reference Spectra

A deep learning model trained only on synthetic mixtures — generated from pure reference spectra — outperforms classical solvers on four- and five-material mixtures across nine sensors. The benchmark: 325 real clay powder mixtures measured by lab spectrometers, pushbroom cameras, snapshot cameras, MWIR, and RGB.

Ahmed Sigiuk

April 23, 2026Research

Turning One Reference Spectrum Into Full-Scene Target Detection

See how a CNN-based single-spectrum detector trained on Clarity outperformed classical baselines on full-scene MUUFL target detection across multiple train-test scene pairs.

Ahmed Sigiuk

April 16, 2026Research

Lithium Detection over the McDermitt Deposit Using Metaspectral’s Clarity Platform

Lithium detection pipeline at the McDermitt deposit using EnMAP hyperspectral data and Metaspectral’s Clarity analysis platform.

Guillaume Hans

Resource archive

Feb 24, 2026Research

Emulating Expert Systems for Global Mineral Mapping: Scalable, Sensor-Agnostic Mineralogical Retrieval Powered by Clarity

Guillaume Hans
Dec 18, 2025Research

Metaspectral Deep Learning Model Achieves State-of-the-Art Performances on Toulouse Hyperspectral Dataset Benchmark

Guillaume Hans
Aug 3, 2025Research

Mapping and Detection of Methane Emissions with PRISMA and ENMAP

Guillaume Hans