Ghost imaging lidar via sparsity constraints
Chengqiang Zhao, Wenlin Gong, Mingliang Chen, Enrong Li, Hui Wang,, Wendong Xu, and Shensheng Han

TL;DR
This paper introduces a ghost imaging lidar system that uses sparsity constraints to achieve high-resolution remote imaging at 1 km distance, demonstrating its effectiveness through experimental results.
Contribution
It is the first to experimentally demonstrate ghost imaging lidar with sparsity constraints for remote sensing at kilometer range.
Findings
Achieved 20 mm resolution at 1 km range
Demonstrated the effectiveness of GISC technique in remote imaging
Compared GISC with existing lidar systems
Abstract
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 of remote imaging and propose a ghost imaging lidar system. For the first time, we demonstrate experimentally that the real-space image of a target at about 1.0 km range with 20 mm resolution is achieved by ghost imaging via sparsity constraints (GISC) technique. The characters of GISC technique compared to the existing lidar systems are also discussed.
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