DocumentCode
3541398
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
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
720
Lastpage
723
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location
Ann Arbor, MI
ISSN
pending
Print_ISBN
978-1-4673-0182-4
Electronic_ISBN
pending
Type
conf
DOI
10.1109/SSP.2012.6319804
Filename
6319804
Link To Document