Abstract
ORTP: A Video SAR Imaging Algorithm Based on Low-Tubal-Rank Tensor Recovery
Highlights
IntroductionIn video synthetic aperture radar (SAR) systems, dynamic scenes are observed at certain video frame rate with straight or circular flight of the moving radar platform [1]–[4]
Experiments on real video synthetic aperture radar (SAR) data: an analysis of the performance of the proposed ORTP algorithm compared with the existing video SAR imaging algorithms and various low-rank tensor recovery algorithms on real video SAR data
All the experiments were implemented in the same computer with a 3.10-GHz Intel processor and 16-GB RAM
Summary
In video SAR systems, dynamic scenes are observed at certain video frame rate with straight or circular flight of the moving radar platform [1]–[4]. Compared with static images provided by the conventional SAR systems, videos acquired by video SAR systems can be used for the continuous surveillance of the ground area for a long time. Compared with conventional SAR systems, video SAR data can reveal the movement information of ground moving targets more directly and thoroughly [5], [6]. As analyzed in [2], [3], the back-projection (BP) algorithm is considered as the most accurate solution to video SAR imaging problem and it benefits a high degree of parallel processing and avoiding the repeated calculation for the overlapped part. Its focusing is still quite time consuming, which severely limits the practical application of
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