27 April 2018 High-performance computing strategies for SAR image experiments
Author Affiliations +
Abstract
This article presents different strategies for generating very large sets of SAR phase history and imagery for target recognition studies using the open-use Raider Tracer simulation tool. Previous data domes, based on Visual D, produced numerous data sets for ground targets above a flat surface, but each target had a single orientation. Here, the experiment specifies different target types, each above a ground plane, but with arbitrary pose, yaw, and pitch. The customized data set poses challenges to load balancing and file input/output synchronization for a limited cpu hour budget. Strategies are presented to complete each image within a minimal time, and to generate the complete experiment set within a desired time.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael A. Saville, Michael A. Saville, David F. Short, David F. Short, Jeremy Trammell, Jeremy Trammell, John Kaufhold, John Kaufhold, } "High-performance computing strategies for SAR image experiments", Proc. SPIE 10647, Algorithms for Synthetic Aperture Radar Imagery XXV, 1064703 (27 April 2018); doi: 10.1117/12.2299989; https://doi.org/10.1117/12.2299989
PROCEEDINGS
10 PAGES + PRESENTATION

SHARE
Back to Top