Abstract | ||
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The radar data to form synthetic aperture radar (SAR) imagery is normally transmitted and received by moving platforms like aircraft or vehicles. In many situations, the platforms move at high speed; which reduces the number of sampling records collected to the synthetic aperture, hence degrades the quality of the reconstructed SAR images. Therefore, it is necessary to develop an algorithm that is capable of increasing the temporal frequency rate of the received data. In this paper, we propose a novel technique to generate intermediate records from the existing ones by a locally-adaptive low-rank matrix recovery framework. The system first fills in the blank records using a bi-directional motion estimation scheme. The initialized aperture records are then refined by a robust low-rank matrix completion algorithm using the reference from neighborhood clean records. Experiments demonstrate that the proposed method provides comparative results when up-converting the aperture rate by a factor of two or four, both in mean square error of the raw SAR signal and PSNR performance of the recovered SAR images. |
Year | DOI | Venue |
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2013 | 10.1109/ICIP.2013.6738486 | ICIP |
Keywords | Field | DocType |
aperture records,rate up-conversion,synthetic aperture radar,bidirectional motion estimation,radar data,synthetic aperture radar (sar),robust low rank matrix completion,sar image reconstruction,matrix algebra,robust pca,image reconstruction,locally adaptive low rank matrix recovery framework,synthetic aperture radar image,temporal frequency rate,temporal rate upconversion,low-rank matrix completion,intermediate record generation,radar imaging,neighborhood clean record | Continuous-wave radar,Radar,Pulse-Doppler radar,Computer vision,Radar imaging,Computer science,Synthetic aperture radar,Side looking airborne radar,Inverse synthetic aperture radar,Artificial intelligence,Synthetic aperture sonar | Conference |
ISSN | Citations | PageRank |
1522-4880 | 3 | 0.39 |
References | Authors | |
4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Minh Dao | 1 | 121 | 11.14 |
Lam H. Nguyen | 2 | 15 | 4.66 |
Trac D. Tran | 3 | 1507 | 108.22 |