| HyperspectralMAE |
- OA@15perclass
- 92.37
|
HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder 2025-05-09 |
연결 없음 |
| RPNet-RF |
- OA@15perclass
- 90.23
|
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering 2023-02-23 |
코드 1 |
| HyLITE |
- Overall Accuracy
- 89.80
- OA@15perclass
- 89.80
|
Locality-Aware Hyperspectral Classification 2023-09-04 |
코드 1 |
| TC-GAN |
- OA@15perclass
- 87.47±1.45
|
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification 2022-07-16 |
연결 없음 |
| 3D VS-CNN |
- OA@15perclass
- 83.06±1.04
|
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples 2020-06-01 |
연결 없음 |
| RPNet |
- OA@15perclass
- 77.97
|
Hyperspectral image classification via a random patches network 2018-05-22 |
코드 1 |
| DCFSL |
- OA@15perclass
- 77.45±1.78
|
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification 2022-06-30 |
코드 1 |
| CA-GAN |
- OA@15perclass
- 75.52±1.28
|
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification 2020-04-03 |
연결 없음 |
| IFRF |
- OA@15perclass
- 69.52
|
Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering 2013-09-16 |
연결 없음 |
| S-DMM |
- OA@15perclass
- 67.04±1.65
|
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification 2019-10-30 |
코드 1 |
| 3D-CNN |
- OA@15perclass
- 58.94±1.27
|
Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network 2017-01-13 |
코드 1 |
| HSI-BERT |
- OA@15perclass
- 58.50±1.56
|
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers 2019-09-04 |
연결 없음 |
| 2D-CNN |
- OA@15perclass
- 57.72±1.90
|
Deep supervised learning for hyperspectral data classification through convolutional neural networks 2015-07-26 |
코드 1 |
| KANet |
- Overall Accuracy
- 99.94
|
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification 2025-04-21 |
코드 1 |
| Deep Matrix Capsules |
- Overall Accuracy
- 99.93%
|
Hyperspectral Image Classification Using Deep Matrix Capsules 2023-02-02 |
코드 1 |
| SGDSCNet |
- Overall Accuracy
- 99.90
|
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification 2025-04-06 |
코드 1 |
| WCNet |
- Overall Accuracy
- 99.87
|
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification 2025-04-15 |
코드 1 |
| SpectralNET |
- Overall Accuracy
- 99.86%
|
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification 2021-04-01 |
코드 1 · 코드 2 |
| EKGNet |
- Overall Accuracy
- 99.84
|
Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification 2025-04-17 |
코드 1 |
| FSKNet |
- Overall Accuracy
- 99.83%
|
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks 2022-02-14 |
코드 1 |
| HybridSN |
- Overall Accuracy
- 99.81%
|
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification 2019-02-18 |
코드 1 |
| STNet |
- Overall Accuracy
- 99.77
|
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating 2025-06-10 |
코드 1 |
| JigsawHSI |
- Overall Accuracy
- 99.74
|
JigsawHSI: a network for Hyperspectral Image classification 2022-06-06 |
코드 1 |
| MVNet |
- Overall Accuracy
- 99.74
|
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture 2025-07-06 |
코드 1 |
| SSDGL |
- Overall Accuracy
- 99.63%
- Kappa
- 0.9958
|
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification 2021-05-29 |
코드 1 |
| A2S2K-ResNet |
- Overall Accuracy
- 99.57 %
|
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification 2020-12-24 |
코드 1 |
| Recurrent 3D-CNN |
- Overall Accuracy
- 99.50%
|
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field 2019-03-04 |
연결 없음 |
| A-SPN |
- Overall Accuracy
- 99.24%
|
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification 2021-01-14 |
코드 1 |
| AMS-M2ESL |
- Overall Accuracy
- 98.38±0.38%
- OA@5%perclass
- 98.38±0.38%
- AA@5%perclass
- 98.86±0.26%
- Kappa@5%perclass
- 0.9816±0.0043
|
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification 2023-04-07 |
코드 1 |
| CVSSN |
- Overall Accuracy
- 98.18±0.27%
- OA@10%perclass
- 98.18±0.27%
- AA@10%perclass
- 97.92±0.75%
- Kappa@10%perclass
- 0.9792±0.0030
|
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification 2022-10-31 |
코드 1 |