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Journal of Applied Remote Sensing • Open Access

Three-dimensional FLASH laser radar range estimation via blind deconvolution
Author(s): Jason R. McMahon; Richard K. Martin; Stephen C. Cain

Paper Abstract

Three-dimensional (3D) FLASH Laser Radar (LADAR) sensors are unique due to the ability to rapidly acquire a series of two dimensional remote scene data (i.e. range images). Principal causes of 3D FLASH LADAR range estimation error include spatial blur, detector blurring, noise, timing jitter, and inter-sample targets. Unlike previous research, this paper accounts for pixel coupling by defining the range image mathematical model as a 2D convolution between the system spatial impulse response and the object (target or remote scene) at a particular point in time. Using this model, improved range estimation is possible by object restoration from the data observations. Object estimation is performed by deriving a blind deconvolution Generalized Expectation Maximization (GEM) algorithm with the range determined from the estimated object by a normalized correlation method. Theoretical derivations and simulation results are verified with experimental data of a bar target taken from a 3D FLASH LADAR system in a laboratory environment. Simulation examples show that the GEM improves range estimation over the unprocessed data and a Wiener filter method by 75% and 26% respectively. In the laboratory experiment, the GEM improves range estimation by 34% and 18%over the unprocessed data and Wiener filter method respectively.

Paper Details

Date Published: 1 March 2010
PDF: 28 pages
J. Appl. Remote Sens. 4(1) 043517 doi: 10.1117/1.3386044
Published in: Journal of Applied Remote Sensing Volume 4, Issue 1
Show Author Affiliations
Jason R. McMahon, Air Force Institute of Technology (United States)
Richard K. Martin, Air Force Institute of Technology (United States)
Stephen C. Cain, Air Force Institute of Technology (United States)


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