hyperspectral-images

Hyperspectral-Classification Pytorch

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

Gaussian processes and Bayesian optimization for images and hyperspectral data

Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(AUSSC)

An R package to simplify working with NEON's hyperspectral imagery

A superpixel-based relational auto-encoder for feature extraction of hyperspectral images

This demo implements FRFE-RX destriping for HSI

Independent component analysis for dimensionality reduction of hyperspectral images

Convolutional neural network for hyperspectral images classification

The following demo comes for two papers "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" and "Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification".

Spectral Clustering on the Sparse Coefficients of Learned Dictionaries - Published in SIVP

DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite

Git Repository for the Hyperspectral Adaptive Imager (ImHypAd) in collaboration between two French laboratories, namely IRAP and LAAS and Airbus Space & Defense.

Research towards detecting and classifying skin cancer using hyperspectral images