ser-jaime,github

cstf

Implemention of paper “Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization (TIP 2018)"

cuda-rpca-admm

A CUDA implementation of performing Robust PCA for foreground-background separation, using ADMM for optimization.

datasciencestudynotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

dhsis

Implemention of paper "deep hyperspectral image sharpening (TNNLS 2018)"

digital-image-processing-gonzalez

Codes for examples in Digital Image Processing (Gonzalez) 冈萨雷斯《数字图像处理》

fancl

Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code

hellogithub

:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目

hsi_ssftt

L. Sun, G. Zhao, Y. Zheng, and Z. Wu, "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," IEEE TGRS, 2022.

hsid-cnn

Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network," IEEE TGRS, 2019.

hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.

hyperspectral-image-denoising-benchmark

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

hyperspectraltoolbox

HyperSpectral Matlab Toolbox forked from Sourceforge

image-denoising-state-of-the-art

intellij-idea-chinese

IntelliJ IDEA Chinese Language Pack（中文语言包）

load_forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lrsr

Implemention of paper “Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations"(IGARSS 2018)

ltmr

code for TIP 2019 paper: Hyperspectral Image Super-Resolution via Subspace-Based Low Tensor Multi-Rank Regularization

lttr

Implemention of paper "“Learning a Low Tensor-train Rank for Hyperspectral Image Super-resolution" (TNNLS 2019)

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

mst

A toolbox for spectral compressive imaging reconstruction including our MST (CVPR 2022), CST (ECCV 2022), HDNet (CVPR 2022), MST++ (CVPRW 2022), DAUHST (Arxiv 2022), etc.