A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis

Hyperspectral image Target Detection based on Sparse Representation

Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.

[ISPRS JP&RS 2018] Hyperspectral Image Classification via a Random Patches Network

Ink Mismatch Detection using Convolutional Neural Networks

An example of hyperspectral image classification using Matlab

The code implementation of our paper "Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction", GRSL, 2019

A deep learning-based method for hyperspectral image classification, which published in IEEE Trans. Geosci. Remote Sens., 2018.

Source code of "A Single Model CNN for Hyperspectral Image Denoising"

The demo partially associated with the following papers: "Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images" and "Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image 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".

Design and capture compressive measurements with those compressive measurements classification in performed.

Code for KNN-based Representation of Superpixels for hyperspectral image classification

Multiscale Context-aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification, TGRS, 2020.

SpaSSA: Superpixelwise Adaptive SSA for Unsupervised Spatial–Spectral Feature Extraction in Hyperspectral Image, TCYB, 2021

A Novel Spectral-Spatial Singular Spectrum Analysis Technique for Near Real-Time In Situ Feature Extraction in Hyperspectral Imaging, JSTARS, 2020

Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery, TGRS, 2020

Matlab code for Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery, IEEE TGRS, 2022

IEEE TGRS