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

		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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