SOTAVerified

Hyperspectral image analysis

Papers

Showing 125 of 36 papers

TitleStatusHype
Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review0
Spectral Unmixing Comparison with Sparse, Iterative and Mixed Integer Programming Models0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis0
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective0
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image AnalysisCode0
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSatCode1
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI0
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods0
Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review0
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification0
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
Measuring complex refractive index through deeplearning-enabled optical reflectometryCode0
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image ClassificationCode1
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis0
Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationCode1
Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing0
Trends in deep learning for medical hyperspectral image analysis0
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 Scenarios0
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional AutoencodersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReflectoNetPearson correlation coefficient (PCC)0.91Unverified