Spectral Image Interpretation Course: Modules content

Module 1: Classification

Basics of spectral imaging, Classification use-case. Active learning to improve labeling. Classification performance and fine-tuning.

Module 2: Object segmentation

Object segmentation and classification. Foreign object detection with unknown objects. Per-object performance estimation.

Module 3: Regression

Regression use-case. Quantification from spectral images. Data cleaning, outlier detection and removal.

Module 4: Visualization and data export

Visualization of spectral indices. Definition of custom spectral indices. Export of data and models. Model deployment using perClass Mira Runtime and perClass Batch processing.