Hyperspectral Image Classification for Wood and Fungi Recognition

This talk addresses the subject of Hyperspectral imaging classification
applied to the problem of wood and fungi detection. Hyperspectral images
provide both spatial and spectral information, and they need a
dedicated Deep Learning framework to exploit such information in image
classification tasks. The talk will provide well-founded but practical
insights to industry stakeholders who are interested in getting closer
or knowing more about computer vision techniques, especially targeting
Convolutional Neural Networks (CNNs) in the context of hyperspectral
imaging classification.