Name
Abstract | ||
|---|---|---|
In this letter, an improved full-aperture imaging algorithm for scanning synthetic aperture radar (ScanSAR) mode is proposed, which fills the data gaps between bursts through a linear-prediction-model-based aperture interpolation technique in a subaperture manner before azimuth compression. It can significantly suppress the spikes induced by periodical data gaps and, at the same time, enhance the signal-to-noise ratio of the obtained ScanSAR imagery. This approach has a great potential in the interferometric context. The effectiveness of the proposed approach is demonstrated by both simulated and real ScanSAR data with different types of terrain. All the experimental data were acquired by the C-band SAR system with a bandwidth of 200 MHz, which was developed by the Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2014.2384594 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
aperture interpolation,synthetic aperture radar,scansar mode,spikes,chinese academy of sciences,interferometric context,scanning synthetic aperture radar (scansar),department of space microwave remote sensing system,data gaps,full-aperture scansar imaging algorithm,scanning synthetic aperture radar,remote sensing by radar,institute of electronics,scansar data,c-band sar system,full-aperture imaging algorithm,periodical data gaps,scansar imagery,linear-prediction-model-based aperture interpolation technique,radar imaging,signal-to-noise ratio,imaging,remote sensing,interpolation,signal to noise ratio,azimuth,apertures | Aperture,Computer vision,Radar imaging,Synthetic aperture radar,Terrain,Interpolation,Remote sensing,Azimuth,Interferometry,Bandwidth (signal processing),Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 5 | 1545-598X |
Citations | PageRank | References |
2 | 0.37 | 9 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Li | 1 | 24 | 4.86 |
| Robert Wang | 2 | 393 | 54.64 |
| Yunkai Deng | 3 | 292 | 54.84 |
| Jiaqi Chen | 4 | 16 | 5.97 |
| Zhimin Zhang | 5 | 39 | 7.71 |
| Yabo Liu | 6 | 111 | 8.89 |
| Zhihuo Xu | 7 | 6 | 2.21 |
| Fengjun Zhao | 8 | 18 | 4.37 |