Dynamic Data-Driven SAR Image Reconstruction Using Multiple GPUs

被引：9
|
作者：
Wijayasiri, Adeesha [1 ]
Banerjee, Tania [1 ]
Ranka, Sanjay [1 ]
Sahni, Sartaj [1 ]
Schmalz, Mark [1 ]
机构：
[1] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL 32611 USA
来源：
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2018年 / 11卷 / 11期
关键词：
Parallel processing; radar signal processing; remote sensing; satellite applications; synthetic aperture radar (SAR); ALGORITHM;
D O I：
10.1109/JSTARS.2018.2873198
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The reconstruction of nxn-pixel synthetic aperture radar (SAR) imagery using a backprojection algorithm incurs O(n(2).m) cost, where m is the number of pulses. This paper presents dynamic data-driven multiresolution algorithms to speed up SAR backprojection on multiple graphics processing units (GPUs). A critical part of this spatially variant reconstruction process is load balancing, which circumvents asymmetric work assignment. Fine-tuned algorithms for GPUs are presented as a part of improving running time. Communication between processors is overlapped with GPU calculation to reduce communication time.
引用
收藏
页码：4326 / 4338
页数：13
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