Classification of different landcover classes using Hyperspectral data.
Minimal Atmospheric Compensation for Hyperspectral Imagers.
Export Rdata-File of the LUCAS Topsoil Database 2009 to CSV files.
Spectra data handling in Python
The hsdatasets package provides pytorch-DataSet wrappers for the most common hyperspectral data sets with pixel-precise ground-truth annotations.
Analyse hyperspectral data from SPECIM devices
An opensource viewer for hyperspectral core scanning data
hypers: hyperspectral data structure, data analysis and machine learning
Remote Sensing Dataset fetcher, loader and benchmarker utils for Joint Classification of Hyperspectral and LiDAR/SAR Data
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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