Title :
Compressive LADAR in realistic environments
Author :
Sale, Darryl ; Rozell, Christopher J. ; Romberg, Justin K. ; Lanterman, Aaron D.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We present a LADAR system concept based on Compressive Sensing principles and show simulated performance for realistic scenes containing buildings and trees. This system substantially reduces the number of measurements required to recover range and intensity information compared to scanning LADAR. The proposed architecture facilitates the parallel and adaptive recovery of intensity at all ranges in a scene. Experiments using natural-looking simulated scenes show average recovery improvements of 6 to 40 dB over measurement-constrained scanning LADAR.
Keywords :
image reconstruction; optical radar; radar imaging; remote sensing by radar; compressive LADAR system; compressive sensing principles; measurement-constrained scanning LADAR systems; natural-looking simulated scenes; Buildings; Compressed sensing; Image coding; Laser radar; Measurement by laser beam; PSNR; Photonics; Compressive Sensing; DirSig; LADAR; LIDAR;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
DOI :
10.1109/SSP.2012.6319804