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Hyperspectral image analysis

Papers

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Showing 1–36 of 36 papers

TitleStatusHype
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSatCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image ClassificationCode1
Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review—0
Spectral Unmixing Comparison with Sparse, Iterative and Mixed Integer Programming Models—0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis—0
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective—0
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image AnalysisCode0
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI—0
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods—0
Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review—0
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification—0
Measuring complex refractive index through deeplearning-enabled optical reflectometryCode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis—0
Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing—0
Trends in deep learning for medical hyperspectral image analysis—0
Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image AnalysisCode0
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios—0
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional AutoencodersCode0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—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
Comparison of VCA and GAEE algorithms for Endmember ExtractionCode0
Machine learning based hyperspectral image analysis: A survey—0
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image AnalysisCode0
Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—0
Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation—0
Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition—0
Kernel Nonnegative Matrix Factorization Without the Curse of the Pre-image - Application to Unmixing Hyperspectral Images—0
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Benchmark Results

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