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Computer Science > Computer Vision and Pattern Recognition

arXiv:2212.02749 (cs)
[Submitted on 6 Dec 2022]

Title:A Hyperspectral and RGB Dataset for Building Facade Segmentation

Authors:Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
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Abstract: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.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2212.02749 [cs.CV]
  (or arXiv:2212.02749v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2212.02749

Submission history

From: Nariman Habili [view email]
[v1] Tue, 6 Dec 2022 04:38:44 UTC (2,702 KB)
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