SOTAVerified

Hyperspectral image analysis

Papers

Showing 1–25 of 36 papers

TitleStatusHype
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSatCode1
Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image ClassificationCode1
Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review—0
Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review—0
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios—0
AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—0
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
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques—0
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification—0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis—0
Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition—0
Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation—0
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Benchmark Results

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