HyperIA
HyperIA
Train classical ML models on hyperspectral data, manage datasets, and review metrics in H2M.
HyperIA turns labeled spectral data into trained classifiers and helps you see which bands matter. Work happens inside a project: you create datasets (CSV-based labels per class), run trainings with configurable algorithms and band selection, then read metrics and spectral signatures for each run.
Start with the Quick start walkthrough (with UI screenshots), then see Datasets and Trainings for focused topics.