Hyperspectral Colour Classification (HCC)
Citation
Grigoroiu, A., Yoon, J., & Bohndiek, S. (2020). Hyperspectral Colour Classification (HCC) [Dataset]. https://doi.org/10.17863/CAM.49542
Description
Dataset utilised for the training and testing of the spectral classification system for a line-scanning hyperspectral endoscope and the associated core algorithms. See the Readme file for a detailed description.
Format
Pixel-wise and Patch-based Convolutional Neural Networks (CNN) implemented in Python 3.6.4 using Theano 1.0.0.
Support Vector Machine (SVM) implemented in Python 3.6.4 using sklearn 0.19.2.
Spectral unmixing and Pearson Correlation Analyis implemented in Matlab R2018a.
The NVIDIA GeForce GTX 1060 Graphical Processing Unit (GPU) was used for acceleration of the learning algorithms.
Keywords
hyperspectral imaging, convolutional neural networks, pearson correlation, spectral unmixing, support vector machines
Relationships
Sponsorship
Engineering and Physical Sciences Research Council (EP/N014588/1)
Cancer Research UK (21102)
Engineering and Physical Sciences Research Council (EP/R003599/1)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.49542
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.