HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder | | 92.37 | | | | | | | | | | HyperspectralMAE | 2025-05-09 |
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering | ✓ Link | 90.23 | | | | | | | | | | RPNet-RF | 2023-02-23 |
Locality-Aware Hyperspectral Classification | ✓ Link | 89.80 | 89.80 | | | | | | | | | HyLITE | 2023-09-04 |
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification | | 87.47±1.45 | | | | | | | | | | TC-GAN | 2022-07-16 |
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples | | 83.06±1.04 | | | | | | | | | | 3D VS-CNN | 2020-06-01 |
Hyperspectral image classification via a random patches network | ✓ Link | 77.97 | | | | | | | | | | RPNet | 2018-05-22 |
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification | ✓ Link | 77.45±1.78 | | | | | | | | | | DCFSL | 2022-06-30 |
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification | | 75.52±1.28 | | | | | | | | | | CA-GAN | 2020-04-03 |
Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering | | 69.52 | | | | | | | | | | IFRF | 2013-09-16 |
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification | ✓ Link | 67.04±1.65 | | | | | | | | | | S-DMM | 2019-10-30 |
Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network | ✓ Link | 58.94±1.27 | | | | | | | | | | 3D-CNN | 2017-01-13 |
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers | | 58.50±1.56 | | | | | | | | | | HSI-BERT | 2019-09-04 |
Deep supervised learning for hyperspectral data classification through convolutional neural networks | ✓ Link | 57.72±1.90 | | | | | | | | | | 2D-CNN | 2015-07-26 |
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification | ✓ Link | | 99.94 | | | | | | | | | KANet | 2025-04-21 |
Hyperspectral Image Classification Using Deep Matrix Capsules | ✓ Link | | 99.93% | | | | | | | | | Deep Matrix Capsules | 2023-02-02 |
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification | ✓ Link | | 99.90 | | | | | | | | | SGDSCNet | 2025-04-06 |
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification | ✓ Link | | 99.87 | | | | | | | | | WCNet | 2025-04-15 |
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification | ✓ Link | | 99.86% | | | | | | | | | SpectralNET | 2021-04-01 |
Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification | ✓ Link | | 99.84 | | | | | | | | | EKGNet | 2025-04-17 |
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks | ✓ Link | | 99.83% | | | | | | | | | FSKNet | 2022-02-14 |
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification | ✓ Link | | 99.81% | | | | | | | | | HybridSN | 2019-02-18 |
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating | ✓ Link | | 99.77 | | | | | | | | | STNet | 2025-06-10 |
JigsawHSI: a network for Hyperspectral Image classification | ✓ Link | | 99.74 | | | | | | | | | JigsawHSI | 2022-06-06 |
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture | ✓ Link | | 99.74 | | | | | | | | | MVNet | 2025-07-06 |
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification | ✓ Link | | 99.63% | 0.9958 | | | | | | | | SSDGL | 2021-05-29 |
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification | ✓ Link | | 99.57 % | | | | | | | | | A2S2K-ResNet | 2020-12-24 |
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field | | | 99.50% | | | | | | | | | Recurrent 3D-CNN | 2019-03-04 |
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification | ✓ Link | | 99.24% | | | | | | | | | A-SPN | 2021-01-14 |
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification | ✓ Link | | 98.38±0.38% | | | | | 98.86±0.26% | 0.9816±0.0043 | 98.38±0.38% | | AMS-M2ESL | 2023-04-07 |
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification | ✓ Link | | 98.18±0.27% | | 97.92±0.75% | 0.9792±0.0030 | 98.18±0.27% | | | | | CVSSN | 2022-10-31 |
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification | ✓ Link | | 96.77% | | | | | | | | | BASSNet | 2016-12-01 |
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network | ✓ Link | | 96.12% | | | | | | | | | CNN-MRF | 2017-05-01 |
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification | ✓ Link | | 90.35% | | | | | | | | | St-SS-pGRU | 2018-10-30 |
Discrete Cosine Transform-Based Joint Spectral-Spatial Information Compression and Band Correlation Calculation for Hyperspectral Feature Extraction | ✓ Link | | | | 97.16% | 98.47% | 98.66% | | | | 97.61% | SSBC | 2024-11-16 |