Compressive Sensing LIDAR for 3D Imaging

被引：0
|
作者：
Howland, Gregory A. [1 ]
Zerom, Petros [1 ]
Boyd, Robert W. [1 ]
Howell, John C. [1 ]
机构：
[1] Univ Rochester, Dept Phys & Astron, Rochester, NY 14627 USA
来源：
2011 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO) | 2011年
关键词：
D O I：
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中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We present a proof-of-principal implementation of a single-pixel lidar for 3D imaging. Spatial resolution is obtained through compressive sensing. This technique allows for imaging through partially obscuring objects, such as foliage or camouflage net. Our implementation improves on multipixel designs with better SNR, a compact design, and highly scalable resolution. (C) 2010 Optical Society of America
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