Presentation + Paper
10 May 2018 Atmospheric effects and impact on target classification for Synthetic Aperture Ladar (SAL) imagery
Rose M. Rustowicz, Jacob W. Ross, Lawrence J. Barnes, Brett L. Keaffaber, Brian D. Rigling, Edward A. Watson
Author Affiliations +
Abstract
The objective of this research is to model anisoplanatic atmospheric effects for synthetically generated Synthetic Aperture Ladar (SAL) data, and to evaluate the impact of these effects on target classification in SAL imagery. Although SAL wavelengths present key advantages in target exploitation, they are heavily susceptible to atmo- spheric turbulence; hence the inclusion of atmospheric effects in simulation is crucial. With utilization of an atmospheric modeling toolbox, we introduce the ability to model anisoplanatic atmospheric effects into a ray tracing simulation tool. We show image classification results as a function of atmospheric severity.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rose M. Rustowicz, Jacob W. Ross, Lawrence J. Barnes, Brett L. Keaffaber, Brian D. Rigling, and Edward A. Watson "Atmospheric effects and impact on target classification for Synthetic Aperture Ladar (SAL) imagery", Proc. SPIE 10636, Laser Radar Technology and Applications XXIII, 1063609 (10 May 2018); https://doi.org/10.1117/12.2303925
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Atmospheric modeling

Image classification

Synthetic aperture radar

Ray tracing

Error analysis

LIDAR

Sensors

Back to Top