A Hyperspectral and RGB Dataset for Building Facade Segmentation
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 8 of its 23 references that are in the map. First posted on arXiv 6 Dec 2022.
Builds on
8 of 23 references.
References · 8
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
- 2017Squeeze-and-Excitation Networkscited by 4,763
- 2019HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classificationcited by 91
- 2021SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classificationcited by 12
- 2021Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networkscited by 2
Built on by
Citing papers per year: 2023: 3; 2024: 2; 2025: 1; 2026: 1.
7 papers.
- 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
- 2024SpectralWaste Dataset: Multimodal Data for Waste Sorting Automationcited by 6
- 2024Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photographycited by 5
- 2023DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problemcited by 3
- 2025A General Purpose Spectral Foundational Model for Both Proximal and Remote Sensing Spectral Imagingcited by 1
- 2026HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbonecited by 1
- 2023Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyondcited by 0
- 2026HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone17 May 2026
- 2025A General Purpose Spectral Foundational Model for Both Proximal and Remote Sensing Spectral Imaging3 Mar 2025
- 2024Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography25 Jul 2024
- 2024SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation26 Mar 2024
- 2023Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond20 Dec 2023
- 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation27 Jun 2023
- 2023DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem10 Mar 2023