Improved Full-Aperture ScanSAR Imaging Algorithm Based on Aperture Interpolation

被引：17

作者：

Li, Ning ^{[1
,2
]}

Wang, Robert ^{[1
]}

Deng, Yunkai ^{[1
]}

Chen, Jiaqi ^{[1
,3
]}

Zhang, Zhimin ^{[1
]}

Liu, Yabo ^{[1
]}

Xu, Zhihuo ^{[1
,2
]}

Zhao, Fengjun ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Elect, Dept Space Microwave Remote Sensing Syst, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100039, Peoples R China

[3] Hohai Univ, Coll Comp & Informat Engn, Nanjing 210098, Jiangsu, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2015年 / 12卷 / 05期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Aperture interpolation; data gaps; full-aperture imaging algorithm; scanning synthetic aperture radar (ScanSAR); spikes; INTERFEROMETRY; STRIPMAP; MODE;

D O I：

10.1109/LGRS.2014.2384594

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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.

引用

页码：1101 / 1105

页数：5

共 19 条

[1] ScanSAR processing using standard high precision SAR algorithms
Bamler, R
Eineder, M
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (01): : 212 - 218
[2] Autofocusing of inverse synthetic aperture radar images using contrast optimization
Berizzi, F
Corsini, G
[J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1996, 32 (03) : 1185 - 1191
[3] Evaluating ScanSAR Interferometry Deformation Time Series Using Bursted Stripmap Data
Buckley, Sean M.
Gudipati, Krishnavikas
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (06): : 2335 - 2342
[4] Cumming I. G., 2005, ARTECH REM, V1, P108
[5] Tomographic Processing of Interferometric SAR Data [Developments, applications, and future research perspectives]
Fornaro, Gianfranco
Lombardini, Fabrizio
Pauciullo, Antonio
Reale, Diego
Viviani, Federico
[J]. IEEE SIGNAL PROCESSING MAGAZINE, 2014, 31 (04) : 41 - 50
[6] Interferometry with ENVISAT wide swath ScanSAR data
Guccione, Pietro
[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2006, 3 (03) : 377 - 381
[7] Burst-mode and ScanSAR interferometry
Holzner, J
Bamler, R
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (09): : 1917 - 1934
[8] Chirp z-transform based SPECAN approach for phase-preserving ScanSAR image generation
Lanari, R
Hensley, S
Rosen, PA
[J]. IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 1998, 145 (05) : 254 - 261
[9] An Assessment of ScanSAR Interferometric Processing Using Full-Aperture Approach
Liang, Cunren
Zeng, Qiming
Jiao, Jian
[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (09) : 1559 - 1563
[10] Moore T. G., 1997, Lincoln Laboratory Journal, V10, P171

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