GPU-BASED PARALLELIZED TIME-DOMAIN BACK-PROJECTION PROCESSING FOR AGILE SAR PLATFORMS

被引：19
|
作者：
Frey, Othmar [1 ]
Werner, Charles L. [1 ]
Wegmuller, Urs [1 ]
机构：
[1] Gamma Remote Sensing, Bern, Switzerland
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
Synthetic aperture radar (SAR); ground-based SAR system; SAR imaging; SAR interferometry; car-borne SAR; CARSAR; GPU; CUDA; Parallelization; Azimuth focusing; Nonlinear Sensor Trajectory;
D O I：
10.1109/IGARSS.2014.6946629
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：
Agile SAR platforms such as an automobile require a flexible SAR processing scheme to account for nonlinear sensor trajectories during the synthetic aperture. In this contribution, a parallelized implementation of a time-domain back-projection SAR focusing algorithm based on NVIDIA's CUDA GPU computing framework is presented and discussed using a car-borne SAR data set. The processing performance is assessed using different hardware. In addition, a pre-processing scheme is described that allows for full 3-D motion compensation, yet staying conveniently in conventional slant-range / azimuth geometry of single-look complex SAR images.
引用
收藏
页码：1132 / 1135
页数：4
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