Special Section on Management and Analytics of Remotely Sensed Big Data

Highly efficient synthetic aperture radar processing system for airborne sensors using CPU+GPU architecture

[+] Author Affiliations
Zheng Wu, Lei Zhang, Ning Li, Kangning Du

Chinese Academy of Sciences, Institute of Electronics, Space Microwave Remote Sensing Systems Department, Beijing 100190, China

University of the Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing 100039, China

Yabo Liu

Chinese Academy of Sciences, Institute of Electronics, Space Microwave Remote Sensing Systems Department, Beijing 100190, China

Timo Balz

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

J. Appl. Remote Sens. 9(1), 097293 (Apr 22, 2015). doi:10.1117/1.JRS.9.097293
History: Received October 30, 2014; Accepted March 27, 2015
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Zheng Wu ; Yabo Liu ; Lei Zhang ; Ning Li ; Kangning Du, et al.
"Highly efficient synthetic aperture radar processing system for airborne sensors using CPU+GPU architecture", J. Appl. Remote Sens. 9(1), 097293 (Apr 22, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.097293


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