bscng

ADLR

Anomaly detection in hyperspectral images by abundance- and dictionary-based low-rank decomposition (ADLR)

AMAN74458-Paul-J.-Deitel-Harvey-Deitel---C-How-to-Program-Pearson-2015----Solution

Solution of AMAN74458/Paul-J.-Deitel-Harvey-Deitel---C-How-to-Program-Pearson-2015

Anomaly-Detection-in-Hyperspectral-Images-Based-on-Low-Rank-and-Sparse-Representation

blind_remote_sensing

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation

CNND

A pytorch implementation of paper "Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery"

Data-Science-books-

A repository of books in data science

deitel-c

C. How to Program. 8th global edition. Exercises.

Demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

DeSCI-deep

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

DSS

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

FDSSC

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(FDSSC)

GFSC

HSI_Classification

Classification for hyperspectral imagery

HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

Hyperspectral-Anomaly-Detection

Paper and Code about my research on hyperpsectral anomaly detection

Hyperspectral-Anomaly-Detection-by-Fractional-Fourier-Entropy

This demo implements FRFE-RX destriping for HSI

hyperspectral-autoencoders

Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.

Hyperspectral-Image-Denoising-Benchmark

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.

hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

L0-motivated-LRSSC

Matlab implementation of L0 motivated low-rank sparse subspace clustering

LinSeed

Linseed: LINear Subspace identification for gene Expresion Deconvolution

LSDM-MoG

Low-Rank and Sparse Decomposition with Mixture-of-Gaussian for Hyperspectral Anomaly Detection

Matlab-Image-Processing-Examples

Examples of image processing in matlab

MSTV-Noise-Robust-Hyperspectral-Image-Classification-via-Multi-Scale-Total-Variation

Matlab code for Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation, JSTARS, 2019

Multi-view-LRSSC

Matlab implementation of multi-view low-rank sparse subspace clustering

NAB

The Numenta Anomaly Benchmark

S5C

Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 19')

scikit-learn

scikit-learn: machine learning in Python

SSC

Sparse Subspace Clustering (for linear and affine spaces)

SSRSC

Matlab code for "Scaled Simplex Representation for Subspace Clustering (SSRSC)"