bigwuz's starred repositories
pyspc-unmix
Python package for unmixing hyperspectral data
spectral_unmixing
Spectral unmixing of hyperspectral images
HSI_unmix_AE
A hyperspectral image unmixing method based on auto-encoder.
Hyperspectral-unmixing
Complete code for linear and non-linear unmixing Hyperspectral images in Python.
HyperspecAE
Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Palsson et al. 2018)
IEEE_TNNLS_EGU-Net
Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE TNNLS, 2021.
hu_autoencoders
A repository for methods by and implemented by the authors' that were used in the paper: Blind Hyperspectral Unmixing using Autoencoders: A Critical Comparison
awesome-hyperspectral-image-unmixing
Resource collection for the paper "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (SPM 2023).
hyperspectral-images
Processing of HSIs: spectral unmixing and classification.
Nonlinear-Hyperspectral-Unmixing-Autoencoder
An autoencoder that performs nonlinear pixel unmixing on hyperspectral images (based on the Fan, Bilinear, PPNM models, and also higher order nonlinear terms)
hyperspec_unmix
Hyperspectral Image Unmixing Program Code
DeepLearningTutorial
深度学习代码
Landsat-LAI
Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS