XinweiJiang

-Forked-3DAES

GPLVM-VARS

LLPCA

code for the paper Local Label Propagation with Class Attention for Effective and Efficient Hyperspectral Images Classification submitted to IEEE SPL

LRCRP

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection

RNSRP

Code for the paper 'Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Non-negative Representation Projection' submitted to TGRS

S3-PCA

Dimensionality reduction and classification of hyperspectral image based on S3-PCA

S3-ULDA

Code for the paper 'Spectral-Spatial and Superpixelwise Unsupervised LDA for Unsupervised Feature Extraction of Hyperspectral Imagery' accepted by TGRS

SLLGPLVM

Matlab Code for Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction (SLLGPLVM)

VMD

variational mode decomposition and its variants

xinweijiang.github.io

XinweiJiang/S3-PCA

Dimensionality reduction and classification of hyperspectral image based on S3-PCA

XinweiJiang/S3-ULDA

Code for the paper 'Spectral-Spatial and Superpixelwise Unsupervised LDA for Unsupervised Feature Extraction of Hyperspectral Imagery' accepted by TGRS

XinweiJiang/LRCRP

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection

XinweiJiang/RNSRP

Code for the paper 'Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Non-negative Representation Projection' submitted to TGRS

XinweiJiang/xinweijiang.github.io

XinweiJiang/LLPCA

code for the paper Local Label Propagation with Class Attention for Effective and Efficient Hyperspectral Images Classification submitted to IEEE SPL

XinweiJiang/-Forked-3DAES

XinweiJiang/-Forked-ContrastNet-AE

Hyperspectral Classification

XinweiJiang/-Forked-GCN-for-HSI

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

XinweiJiang/-Forked-HSI-Classification-With-Limited-Data

XinweiJiang/-Forked-MAE

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

XinweiJiang/-Forked-Segment-Any-Anomaly

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

XinweiJiang/-Forked-SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

XinweiJiang/Awesome-Unsupervised-Segmentation

Awesome Unsupervised Segmentation

XinweiJiang/CNN_Enhanced_GCN

Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.

XinweiJiang/Data-CSHSI

Open source datasets for Cross-Scene Hyperspectral Image Classification, continuously updated~

XinweiJiang/DeepHyperX

Deep learning toolbox based on PyTorch for hyperspectral data classification.

XinweiJiang/F2HNN

Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network

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

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

XinweiJiang/Hyperspectral-Image-Segmentation

Semantic Segmentation of HyperSpectral Images using a U-Net with Depthwise Separable Convolutions

XinweiJiang/JASD

Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification (IEEE TIM 2021)

XinweiJiang/LGS-Box

code for the paper Spatial-Spectral Feature Extraction of Hyperspectral Images using Local and Global Side-window Box Filtering

XinweiJiang/LLP

code for the paper 'Local Label Propagation for Effective and Efficient Hyperspectral Images Classification' submitted to IEEE Geoscience and Remote Sensing Letters

XinweiJiang/MultiMAE

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

XinweiJiang/pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book ，配套视频教程：https://www.bilibili.com/video/BV1Mh411e7VU

XinweiJiang/RBDS

low rank Representation with Block-Diagonal Structure (RBDS)

XinweiJiang/Side-Window-Box-Filtering

XinweiJiang/SimSiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

XinweiJiang/SPaCR_demo

Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification (IEEE GRSL 2021)

XinweiJiang/SuperPCA-DA

SuperPCA-DA based Hyperspectral Imagery Classification