NISL-MSU / HSI-BandSelection

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

Date Created 2020-11-20 (3 years ago)

Commits 96 (last one 5 months ago)

Stargazers 50 (0 this week)

Watchers 2 (0 this week)

Forks 13

License unknown

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RepositoryStats indexes 565,600 repositories, of these NISL-MSU/HSI-BandSelection is ranked #450,932 (20th percentile) for total stargazers, and #467,712 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,654/16,305.

NISL-MSU/HSI-BandSelection is also tagged with popular topics, for these it's ranked: convolutional-neural-networks (#464/529)

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: 2024-09-08 @ 10:26pm, id: 314514056 / R_kgDOEr8aiA