A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising

no code implementations • 15 Sep 2023 • Fuli Wang, Karelia Pena-Pena, Wei Qian, Gonzalo R. Arce

Hypergraph Neural networks (HyperGNNs) and hypergraph signal denoising (HyperGSD) are two fundamental topics in higher-order network modeling.

Denoising

A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors

no code implementations • 12 Jun 2022 • Qile Zhao, Xianhong Zhao, Xu Ma, Xudong Chen, Gonzalo R. Arce

Coded aperture snapshot spectral imaging (CASSI) is a technique used to reconstruct three-dimensional hyperspectral images (HSIs) from one or several two-dimensional projection measurements.

Compressive Sensing

Compressive spectral image classification using 3D coded convolutional neural network

no code implementations • 23 Sep 2020 • Hao Zhang, Xu Ma, Xianhong Zhao, Gonzalo R. Arce

The accuracy of classification is effectively improved by exploiting the synergy between the deep learning network and coded apertures.

Classification General Classification +1

Spatial Sparse subspace clustering for Compressive Spectral imaging

no code implementations • 5 Nov 2019 • Jianchen Zhu, Tong Zhang, Shengjie Zhao, Carlos Hinojosa, Zengli Liu, Gonzalo R. Arce

This paper aims at developing a clustering approach with spectral images directly from CASSI compressive measurements.

Clustering Image Clustering