NISL-MSU / HSI-BandSelection

Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.

Date Created 2020-11-20 (4 years ago)

Commits 96 (last one 8 months ago)

Stargazers 55 (0 this week)

Watchers 2 (0 this week)

Forks 13

License unknown

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RepositoryStats indexes 595,856 repositories, of these NISL-MSU/HSI-BandSelection is ranked #440,760 (26th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,452/17,543.

NISL-MSU/HSI-BandSelection is also tagged with popular topics, for these it's ranked: convolutional-neural-networks (#452/549)

All Topics

salinas-dataset feature-selection indian-pines-dataset multispectral-images hyperspectral-imaging pytorch-implementation convolutional-neural-networks hyperspectral-image-classification

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42 commits on the default branch (master) since jan '22

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updated: 2024-12-17 @ 07:53pm, id: 314514056 / R_kgDOEr8aiA