Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering | ✓ Link | 95.60 | | | | | | | | | | | | RPNet-RF | 2023-02-23 |
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification | | 93.20±0.59 | | | | | | | | | | | | TC-GAN | 2022-07-16 |
Locality-Aware Hyperspectral Classification | ✓ Link | 91.28 | | | | | | | | | | | | HyLITE | 2023-09-04 |
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification | ✓ Link | 90.71±0.56 | | | | | | | | | | | | DCFSL | 2022-06-30 |
Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering | | 88.38 | | | | | | | | | | | | IFRF | 2013-09-16 |
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification | ✓ Link | 88.30±1.03 | | | | | | | | | | | | S-DMM | 2019-10-30 |
Hyperspectral image classification via a random patches network | ✓ Link | 84.92 | | | | | | | | | | | | RPNet | 2018-05-22 |
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples | | 81.63±1.81 | | | | | | | | | | | | 3D VS-CNN | 2020-06-01 |
Deep supervised learning for hyperspectral data classification through convolutional neural networks | ✓ Link | 77.53±1.50 | | | | | | | | | | | | 2D-CNN | 2015-07-26 |
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification | | 76.81±0.91 | | | | | | | | | | | | CA-GAN | 2020-04-03 |
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers | | 75.31±1.59 | | | | | | | | | | | | HSI-BERT | 2019-09-04 |
Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network | ✓ Link | 75.24±0.84 | | | | | | | | | | | | 3D-CNN | 2017-01-13 |
JigsawHSI: a network for Hyperspectral Image classification | ✓ Link | | 100.00 | | | | | | | | | | | JigsawHSI | 2022-06-06 |
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating | ✓ Link | | 100 | | | | | | | | | | | STNet | 2025-06-10 |
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification | ✓ Link | | 100 | | | | | | | | | | | WCNet | 2025-04-15 |
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification | ✓ Link | | 99.99% | | | | | | | | | | | SpectralNET | 2021-04-01 |
Hyperspectral Image Classification Using Deep Matrix Capsules | ✓ Link | | 99.99% | | | | | | | | | | | Deep Matrix Capsules | 2023-02-02 |
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification | ✓ Link | | 99.99 | | | | | | | | | | | KANet | 2025-04-21 |
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification | ✓ Link | | 99.99 | | | | | | | | | | | SGDSCNet | 2025-04-06 |
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture | ✓ Link | | 99.98 | | | | | | | | | | | MVNet | 2025-07-06 |
Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification | ✓ Link | | 99.98 | | | | | | | | | | | EKGNet | 2025-04-17 |
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification | ✓ Link | | 99.97% | | | | | 0.9996 | | | | | | SSDGL | 2021-05-29 |
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks | ✓ Link | | 99.96% | | | | | | | | | | | FSKNet | 2022-02-14 |
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification | ✓ Link | | 99.85 | | | | | | | | | | | A2S2K-ResNet | 2020-12-24 |
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification | ✓ Link | | 99.81% | 99.83 | 0.9974 | 99.81 | | | | | | | | FPGA | 2020-11-11 |
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification | ✓ Link | | 99.68±0.06% | | | | 99.52±0.17% | | 0.9957±0.0009 | 99.68±0.06% | | | | CVSSN | 2022-10-31 |
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification | ✓ Link | | 99.65% | | | | | | | | | | | A-SPN | 2021-01-14 |
Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification | ✓ Link | | 99.43% | | | | | | | | | | | WCRN | 2018-07-22 |
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification | ✓ Link | | 98.44% | | | | | | | | | | | St-SS-pGRU | 2018-10-30 |
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification | ✓ Link | | 98.09±0.30% | | | | | | | | 97.86±0.47% | 0.9747±0.0039 | 98.09±0.30% | AMS-M2ESL | 2023-04-07 |
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification | ✓ Link | | 97.48% | | | | | | | | | | | BASSNet | 2016-12-01 |
Deep Learning for Classification of Hyperspectral Data: A Comparative Review | ✓ Link | | 96.71 | | | | | | | | | | | DeepHyperX 3D CNN | 2019-04-24 |
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network | ✓ Link | | 96.18 | | | | | | | | | | | CNN-MRF | 2017-05-01 |