pyMCR: Multivariate Curve Resolution for Python

Open source datasets for Cross-Scene Hyperspectral Image Classification, continuously updated~

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

Open Source real-time visualization tools for Imaging Spectrometer development

Awesome projects, papers, and tools for working with hyperspectral imagery

Real-time tools for Imaging Spectroscopy Data

hypers: hyperspectral data structure, data analysis and machine learning

Download and load Houston 2013 Dataset like a buildin function in scikit-learn.

An R package to read and process Agilent Cary 620 FTIR microscope images

Simple GUI to load, preview, perform PCA and save spectral data from Hyperspectral images

The hsdatasets package provides pytorch-DataSet wrappers for the most common hyperspectral data sets with pixel-precise ground-truth annotations.

Export Rdata-File of the LUCAS Topsoil Database 2009 to CSV files.

Evaluation of machine learning algorithms on hyperspectral images of forests.

Pixelwise classification with Keras - Hyperspectral Imaging - Indian Pines Dataset

Evaluated the performance of 3 billion+ band combinations of 9 vegetation index types by conducting regression analysis to determine the optimal chlorophyll index for chlorophyll content estimation.

Analyse hyperspectral data from SPECIM devices

source code for paper titled "Subspace-based Preprocessing Module for Fast Hyperspectral Endmember Selection"

Source code for the paper titled "Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior"

Workbench for BIODIV collaborators

Classification of different landcover classes using Hyperspectral data.