Title :
Compressive sensing LIDAR for 3D imaging
Author :
Howland, Gregory A. ; Zerom, Petros ; Boyd, Robert W. ; Howell, John C.
Author_Institution :
Dept. of Phys. & Astron., Univ. of Rochester, Rochester, NY, USA
Abstract :
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.
Keywords :
optical radar; radar resolution; 3D imaging; LIDAR; SNR; compressive sensing; spatial resolution; Compressed sensing; Detectors; Image reconstruction; Imaging; Spatial resolution; Three dimensional displays;
Conference_Titel :
Lasers and Electro-Optics (CLEO), 2011 Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4577-1223-4
