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Model Description
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Model Description
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* A-SPN
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification
* ACDFSL
Attentive Cross-Domain Few-Shot Learning in Hyperspectral Image Classification
* ADASR
An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion
* AMGCFN
Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification
* AMS-M2ESL
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification
* ASPC
Adaptive Spatial Pyramid Constraint for HSI Classification With Limited Training Samples
* ASSMN
Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification
* CMR-CNN
Cross-Mixing Residual Network for Hyperspectral Image Classification
* CNCMN
Composite Neighbor-Aware Convolutional Metric Networks for Hyperspectral Image Classification
* CNN_Enhanced_GCN
CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification
* CS2DT
Cross Spatial–Spectral Dense Transformer for Hyperspectral Image Classification
* CSIL
An interactive learning framework for hyperspectral image classification
* CTN
Convolutional Transformer Network for Hyperspectral Image Classification
* CVNNs
Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification
* CVSSN
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification
* DBDA
Double-Branch Dual-Attention Mechanism Network for Hyperspectral Image Classification
* DCN-T
Dual Context Network with Transformer for Hyperspectral Image Classification
* DDCD
LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification
* DKDMN
Data and knowledge-driven deep multiview fusion network based on diffusion model for hyperspectral image classification
* DM-MRN
Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image Classification
* DPRN
Deep Pyramidal Residual Networks for Hyperspectral Image Classification
* DRGCN
Dual Residual Graph Convolutional Network for Hyperspectral Image Classification
* DeepMatrixCapsules
Hyperspectral Image Classification Using Deep Matrix Capsules
* DeepTreeAttention
Hyperspectral Image Classification with Attention Aided CNNs (https://arxiv.org/abs/2005.11977)
* ENL-FCN
Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
* F2HNN
Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network
* FDSSC
A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification
* FSKNet
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks
* FullyContNet
Fully Contextual Network for Hyperspectral Scene Parsing
* GCN_TGRS_DFH
Graph Convolutional Networks for Hyperspectral Image Classification
* HKNAS
Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
* HSIC-FM
Overcoming the Barrier of Incompleteness: A Hyperspectral Image Classification Full Model
* HSIMAE
HSIMAE：A Unified Masked Autoencoder with Large-scale Pretraining for Hyperspectral Image Classification
* HSI_DeepLearning_Review
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
* HyT_NAS
Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification
* HybridSN
HybridSN Exploring 3D-2D Feature for Hyperspectral Image Classification
* LFSMIM
A Low-Frequency Spectral Masked Image Modeling Method for Hyperspectral Image Classification
* LMSS-NAS
Lightweight Multiscale Neural Architecture Search With Spectral–Spatial Attention for Hyperspectral Image Classification
* MAFN
Hyperspectral image classification with multiattention fusion network
* MCNN-based_HSI_Classification
3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited Samples
* MRViT
Mixed Convolutions with Vision Transformer in Hyperspectral Image Classification
* MSSG-UNet
Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification
* MUNet
Multimodal Hyperspectral Unmixing Insights From Attention Networks
* MVAHN
Multiple Vision Architectures-based Hybrid Network for Hyperspectral Image Classification
* Machine_Learning_Methods
No paper! The project uses the CNN models、the KNN method、the SVM method as classifier in hyperspectral image classification
* MambaHSI
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
* OSICN
Can Spectral Information Work While Extracting Spatial Distribution? — An Online Spectral Information Compensation Network for HSI Classification
* S3Net
S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification
* SACNet
Self-Attention Context Network Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification
* SSDC
Spectral-Spatial Distribution Consistent Network Based on Meta-Learning for Cross-Domain Hyperspectral Image Classification
* SSFTT
Spectral Spatial Feature Tokenization Transformer for Hyperspectral Image Classification
* SSGRN
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification
* SSMLP-RPL
Spectral–Spatial MLP-Like Network With Reciprocal Points Learning for Open-Set Hyperspectral Image Classification
* SSMTR
Spectral–Spatial Masked Transformer With Supervised and Contrastive Learning for Hyperspectral Image Classification
* SSNSC
Spectral-Spatial Nearest Subspace Classifier for Hyperspectral Image Classification
* SSRN
Spectral–Spatial Residual Network for Hyperspectral Image Classification
* SSTN
Spatial-Spectral Transformer for Hyperspectral Image Classification
* SpectralFormer
SpectralFormer Rethinking Hyperspectral Image Classification With Transformers
* SpectralGPT
SpectralGPT: Spectral Remote Sensing Foundation Model
* TCRL
TCRL: Triple Contrastive Representation Learning for Hyperspectral Image Classification With Noisy Labels
* TP-Net
A-Triple-Path-Spectral-Spatial-Network-with-Interleave-Attention-for-Hyperspectral-Image-Classificat For HSI classification
* morphFormer
Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification
* pResNet-HSI
Deep Pyramidal Residual Networks for Hyperspectral Image Classification