93 citations · 136 across the 7 of their papers we have counts for
8 papers
Compressive spectral image classification using 3D coded convolutional neural network
Hao Zhang, Xu Ma, Xianhong Zhao +1
Hyperspectral image classification (HIC) is an active research topic in remote sensing. Hyperspectral images typically generate large data cubes posing big challenges in data acqui…
Spatial Sparse subspace clustering for Compressive Spectral imaging
Jianchen Zhu, Tong Zhang, Shengjie Zhao +3
This paper aims at developing a clustering approach with spectral images directly from CASSI compressive measurements. The proposed clustering method first assumes that compressed…
Compressive spectral imaging based on hexagonal blue noise coded apertures
Hao Zhang, Xu Ma, Gonzalo R. Arce
Coded aperture snapshot spectral imager (CASSI) is a computational imaging system that acquires a three dimensional (3D) spectral data cube by single or a few two dimensional (2D)…
Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing
Jianchen Zhu, Shengjie Zhao, Qingjiang Shi +1
Compressive Sensing (CS) is a new paradigm for the efficient acquisition of signals that have sparse representation in a certain domain. Traditionally, CS has provided numerous met…
Spectral Zooming and Resolution Limits of Spatial Spectral Compressive Spectral Imagers
Edgar Salazar, Alejandro Parada-Mayorga, Gonzalo R. Arce
The recently introduced Spatial Spectral Compressive Spectral Imager (SSCSI) has been proposed as an alternative to carry out spatial and spectral coding using a binary on-off code…
Blue-Noise Sampling on Graphs
Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo +1
In the area of graph signal processing, a graph is a set of nodes arbitrarily connected by weighted links; a graph signal is a set of scalar values associated with each node; and s…