32 citations · 91 across the 4 of their papers we have counts for
4 papers
Turbulence-immune computational ghost imaging based on a multi-scale generative adversarial network
Hao Zhang, Deyang Duan
There is a consensus that turbulence-free images cannot be obtained by conventional computational ghost imaging (CGI) because the CGI is only a classic simulation, which does not s…
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…
High-speed computational ghost imaging with compressed sensing based on a convolutional neural network
Hao Zhang, Deyang Duan
Computational ghost imaging (CGI) has recently been intensively studied as an indirect imaging technique. However, the speed of CGI cannot meet the requirements of practical applic…
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)…