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SOTA
高光谱图像分类
Hyperspectral Image Classification On Indian
Hyperspectral Image Classification On Indian
评估指标
Overall Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Overall Accuracy
Paper Title
Repository
Deep Matrix Capsules
99.93%
Hyperspectral Image Classification Using Deep Matrix Capsules
-
SpectralNET
99.86%
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
FSKNet
99.83%
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks
HybridSN
99.81%
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
JigsawHSI
99.74
JigsawHSI: a network for Hyperspectral Image classification
SSDGL
99.63%
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
A2S2K-ResNet
99.57 %
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
-
Recurrent 3D-CNN
99.50%
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field
-
A-SPN
99.24%
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification
-
AMS-M2ESL
98.38±0.38%
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification
-
CVSSN
98.18±0.27%
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification
-
BASSNet
96.77%
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
CNN-MRF
96.12%
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network
St-SS-pGRU
90.35%
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification
HyLITE
89.80
Locality-Aware Hyperspectral Classification
SSBC
-
Discrete Cosine Transform-Based Joint Spectral-Spatial Information Compression and Band Correlation Calculation for Hyperspectral Feature Extraction
-
CA-GAN
-
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification
-
3D-CNN
-
Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network
-
3D VS-CNN
-
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples
-
S-DMM
-
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
-
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Hyperspectral Image Classification On Indian | SOTA | HyperAI超神经