论文标题
用于建筑外墙细分的高光谱和RGB数据集
A Hyperspectral and RGB Dataset for Building Facade Segmentation
论文作者
论文摘要
高光谱成像（HSI）提供了详细的光谱信息，并已在许多现实世界应用中使用。这项工作介绍了一个在轻型行业环境中建造立面的HSI数据集，目的是在场景中对不同的建筑材料进行分类。该数据集称为轻型工业建筑HSI（LIB-HSI）数据集。该数据集由九个类别和44个类组成。在这项研究中，我们研究了基于RGB和高光谱图像的基于深度学习的语义分割算法，以对各种建筑材料进行分类，例如木材，砖和混凝土。
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 in a light industry environment with the aim of classifying different building materials in a scene. The dataset is called the Light Industrial Building HSI (LIB-HSI) dataset. This dataset consists of nine categories and 44 classes. In this study, we investigated deep learning based semantic segmentation algorithms on RGB and hyperspectral images to classify various building materials, such as timber, brick and concrete.
