SOTAVerified

Hyperspectral image analysis

Papers

Showing 11–20 of 36 papers

TitleStatusHype
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing—0
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis—0
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI—0
Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction—0
Spectral Unmixing Comparison with Sparse, Iterative and Mixed Integer Programming Models—0
Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing—0
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective—0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
Trends in deep learning for medical hyperspectral image analysis—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReflectoNetPearson correlation coefficient (PCC)0.91—Unverified