Key Laboratory for Quantum Optics and Center for Cold Atom Physics of CAS, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China.
Research Laboratory for High Density Optical Storage, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China.
Sci Rep. 2016 May 17;6:26133. doi: 10.1038/srep26133.
Three-dimensional (3D) remote imaging attracts increasing attentions in capturing a target's characteristics. Although great progress for 3D remote imaging has been made with methods such as scanning imaging lidar and pulsed floodlight-illumination imaging lidar, either the detection range or application mode are limited by present methods. Ghost imaging via sparsity constraint (GISC), enables the reconstruction of a two-dimensional N-pixel image from much fewer than N measurements. By GISC technique and the depth information of targets captured with time-resolved measurements, we report a 3D GISC lidar system and experimentally show that a 3D scene at about 1.0 km range can be stably reconstructed with global measurements even below the Nyquist limit. Compared with existing 3D optical imaging methods, 3D GISC has the capability of both high efficiency in information extraction and high sensitivity in detection. This approach can be generalized in nonvisible wavebands and applied to other 3D imaging areas.
三维（3D）远程成像是一种获取目标特征的方法，它吸引了越来越多的关注。尽管扫描成像激光雷达和脉冲强光照明成像激光雷达等方法已经在 3D 远程成象方面取得了很大的进展，但目前的方法在检测范围或应用模式上都受到限制。基于稀疏约束的鬼成像（GISC）技术可以从远少于 N 个测量值中重建二维 N 像素图像。通过 GISC 技术和时间分辨测量获取的目标深度信息，我们报告了一种 3D GISC 激光雷达系统，并实验证明，即使在奈奎斯特极限以下，也可以用全局测量值稳定地重建约 1.0 公里距离的 3D 场景。与现有的 3D 光学成像方法相比，3D GISC 具有高效的信息提取能力和高灵敏度的检测能力。这种方法可以推广到非可见波段，并应用于其他 3D 成像领域。
