HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

Hyperspectral Image Classification On Indian

평가 지표

Overall Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Overall Accuracy
Paper TitleRepository
A2S2K-ResNet99.57 %Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
JigsawHSI99.74JigsawHSI: a network for Hyperspectral Image classification
Recurrent 3D-CNN99.50%Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field-
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
BASSNet96.77%BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
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-
2D-CNN-Deep supervised learning for hyperspectral data classification through convolutional neural networks
CNN-MRF96.12%Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network
SpectralNET99.86%SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
TC-GAN-Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification-
RPNet-RF-Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering
HybridSN99.81%HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
IFRF-Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering-
FSKNet99.83%Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks
HyLITE89.80Locality-Aware Hyperspectral Classification
St-SS-pGRU90.35%Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification
DCFSL-Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification
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