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3daes

半监督孪生网络框架

auto-cnn-hsi-classification

Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"

changedetectionrepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

chathub

All-in-one chatbot client

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.

contrastnet-unsupervised-feature-learning-by-autoencoder-and-prototypical-contrastive-learning

Hyperspectral Classification

dcfsl-2021

Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

dgcn

Dual Graph Convolution Networks

dmvl

Deep Multiview Learning for Hyperspectral Image Classification

feature-extraction-with-diks-for-hsi-classification

不规则卷积

fsc-cl

ggcl_hsi

gigcn

图中图GCN

hosts

镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts

hsi-classification

hyperspectral-vision-transformer

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

ieee_tgrs_gcn

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.

jjwwczy-siamesenet-for-few-shot-hyperspectral-classification

lcmr

demo for LCMR to be appeared TGRS

mutualguide

小样本互导分类框架

sc-eadnet

Implementation of SC-EADNet on TGRS 2022.

scl-net

This repository provides the code for the methods and experiments presented in our paper 'SCL-Net: An End-to-End Supervised Contrastive Learning Network for Hyperspectral Image Classification'，under review by TGRS

siamese_gcn

Deep learning on Siamese GCN using pytorch.

sstn

PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

tcrl_hsi_noisylabels

Triple Contrastive Representation Learning for Hyperspectral Image Classification with Noisy Labels, IEEE TGRS, 2023.

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

twocnn