Minimal Atmospheric Compensation for Hyperspectral Imagers.
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Updated
Sep 19, 2025 - Python
Minimal Atmospheric Compensation for Hyperspectral Imagers.
Classification of different landcover classes using Hyperspectral data.
Spectra data handling in Python
Analyse hyperspectral data from SPECIM devices
An opensource viewer for hyperspectral core scanning data
Remote Sensing Dataset fetcher, loader and benchmarker utils for Joint Classification of Hyperspectral and LiDAR/SAR Data
Export Rdata-File of the LUCAS Topsoil Database 2009 to CSV files.
The hsdatasets package provides pytorch-DataSet wrappers for the most common hyperspectral data sets with pixel-precise ground-truth annotations.
hypers: hyperspectral data structure, data analysis and machine learning
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
pyMCR: Multivariate Curve Resolution for Python
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