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20122019
most citedGhost imaging lidar via sparsity constraints

368 citations · 800 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2019★ 19 cited

Spectral ghost imaging camera with super-Rayleigh modulator

Shengying Liu, Zhentao Liu, Chenyu Hu +3

A spectral camera based on ghost imaging via sparsity constraints (GISC) acquires a spectral data-cube (x; y; λ) through a single exposure. The noise immunity of the system is one…

eess.IV2019★ 52 cited

Ghost imaging LiDAR via sparsity constraints using push-broom scanning

Shuang Ma, Zhentao Liu, Chenglong Wang +7

Ghost imaging LiDAR via sparsity constraints using push-broom scanning is proposed. It can image the stationary target scene continuously along the scanning direction by taking adv…

physics.optics2015★ 80 cited

Spectral Camera based on Ghost Imaging via Sparsity Constraints

Zhentao Liu, Shiyu Tan, Jianrong Wu +3

The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of imag…

quant-ph2013★ 281 cited

Three-dimensional ghost imaging ladar

Wenlin Gong, Chengqiang Zhao, Jia Jiao +5

Compared with two-dimensional imaging, three-dimensional imaging is much more advantageous to catch the characteristic information of the target for remote sensing. We report a ran…

physics.optics2012★ 368 cited

Ghost imaging lidar via sparsity constraints

Chengqiang Zhao, Wenlin Gong, Mingliang Chen +4

For remote sensing, high-resolution imaging techniques are helpful to catch more characteristic information of the target. We extend pseudo-thermal light ghost imaging to the area…