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

页码：4326 / 4338

页数：13

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