SOTAVerified

Hyperspectral image analysis

Papers

Showing 125 of 36 papers

TitleStatusHype
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSatCode1
Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationCode1
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image ClassificationCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
Comparison of VCA and GAEE algorithms for Endmember ExtractionCode0
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image AnalysisCode0
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image AnalysisCode0
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional AutoencodersCode0
Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image AnalysisCode0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
Measuring complex refractive index through deeplearning-enabled optical reflectometryCode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
Kernel Nonnegative Matrix Factorization Without the Curse of the Pre-image - Application to Unmixing Hyperspectral Images0
Machine learning based hyperspectral image analysis: A survey0
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis0
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI0
Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction0
Spectral Unmixing Comparison with Sparse, Iterative and Mixed Integer Programming Models0
Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing0
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images0
Trends in deep learning for medical hyperspectral image analysis0
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification0
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReflectoNetPearson correlation coefficient (PCC)0.91Unverified