A Hyperspectral and RGB Dataset for Building Façade Segmentation

Hyperspectral Imaging (HSI) provides detailed spectral information and has been utilised in many real-world applications. This work introduces an HSI dataset of building facades a light industry environment with the aim classifying different materials scene. The is called Light Industrial Building (LIB-HSI) dataset. consists nine categories 44 classes. In this study, we investigated deep learning based semantic segmentation algorithms on RGB hyperspectral images to classify various materials, such as timber, brick concrete. Our publicly available at CSIRO data access portal .