hyperspectral-data

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

pyMCR: Multivariate Curve Resolution for Python

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

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

Remote Sensing Dataset fetcher, loader and benchmarker utils for Joint Classification of Hyperspectral and LiDAR/SAR Data

Open Source real-time visualization tools for Imaging Spectrometer development

Real-time tools for Imaging Spectroscopy Data

hypers: hyperspectral data structure, data analysis and machine learning

Awesome datasets for hyperspectral imaging research.

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

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

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

Evaluation of machine learning algorithms on hyperspectral images of forests.

Pixelwise classification with Keras - Hyperspectral Imaging - Indian Pines Dataset

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

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"

Spectra data handling in Python

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