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Journal of Applied Remote Sensing

Highly efficient synthetic aperture radar processing system for airborne sensors using CPU+GPU architecture
Author(s): Zheng Wu; Yabo Liu; Lei Zhang; Ning Li; Kangning Du; Timo Balz
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Paper Abstract

A comprehensive and effective parallel airborne synthetic aperture radar (SAR) processing system using the architecture of central processing units (CPU) and graphical processing units (GPU) is proposed first in this paper. By using the techniques of Compute Unified Device Architecture, the SAR processing system is much more efficient and robust, thereby enabling it to work with high efficiency. This paper focuses on the optimizations of motion compensation, subaperture chirp scaling algorithm, phase gradient autofocus (PGA), and even visualization with Open Source Computer Vision Library. Apart from this, it is also the first time the PGA has been run on the architecture of CPU and GPU. Experimental results show a speedup of ∼37 times compared with a nonoptimized CPU-based approach.

Paper Details

Date Published: 22 April 2015
PDF: 12 pages
J. Appl. Remote Sens. 9(1) 097293 doi: 10.1117/1.JRS.9.097293
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Zheng Wu, Institute of Electronics (China)
Univ. of the Chinese Academy of Sciences (China)
Yabo Liu, Institute of Electronics (China)
Lei Zhang, Institute of Electronics (China)
Univ. of the Chinese Academy of Sciences (China)
Ning Li, Institute of Electronics (China)
Univ. of the Chinese Academy of Sciences (China)
Kangning Du, Institute of Electronics (China)
Univ. of the Chinese Academy of Sciences (China)
Timo Balz, Wuhan Univ. (China)


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