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| Citation: | LU Jiaguo, TAO Li, ZHONG Xuelian, et al. The L-band airborne repeat-pass interferometric SAR system and its experimental study[J]. Journal of Radars, 2019, 8(6): 804–819. doi: 10.12000/JR19078
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L-band Airborne Repeat-pass Interferometric SAR System and Its Experimental Study
DOI: 10.12000/JR19078
More Information-
Abstract
This paper describes the L-band airborne Synthetic Aperture Radar (SAR) system and an experimental study of repeat-pass SAR interferometry. The discussions mainly focus on the internal calibration method, the imaging method based on Differential Global Positioning System/Inertial Measurement Unit (DGPS/IMU) data, Residual Motion Error (RME) estimation and compensation, and the Digital Elevation Model (DEM) inversion method with Interferometric SAR (InSAR). Two typical test areas were chosen from the acquired SAR data for detailed analyses. The DEMs in these two areas were inversed with repeat-pass InSAR, and comparisons with the measured ground points show errors in these two areas with a standard deviation 3.40 m and 2.85 m, respectively. This demonstrates the good performance of this L-band repeat-pass interferometric SAR system. These results have important significance for the design of airborne repeat-pass InSAR systems and typical terrain mapping. When the flight tracks are under good control, this L-band SAR system is applicable in the fields of differential InSAR, polarimetric InSAR, and tomographic SAR.
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References
[1] REIGBER A, MERCER B, PRATS P, et al. Spectral diversity methods applied to DEM generation from repeat-pass P-band InSAR[C]. 2006 European Conference on Synthetic Aperture Radar, Dresden, Germany, 2006.[2] PINHEIRO M, REIGBER A, SCHEIBER R, et al. Generation of highly accurate DEMs over flat areas by means of dual-frequency and dual-baseline airborne SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(8): 4361–4390. doi: 10.1109/TGRS.2018.2817122[3] PRATS P, SCHEIBER R, REIGBER A, et al. Estimation of the surface velocity field of the Aletsch glacier using multibaseline airborne SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(2): 419–430. doi: 10.1109/tgrs.2008.2004277[4] REIGBER A, SCHEIBER R, JÄGER M, et al. Very-high-resolution airborne synthetic aperture radar imaging: Signal processing and applications[J]. Proceedings of the IEEE, 2013, 101(3): 759–783. doi: 10.1109/JPROC.2012.2220511[5] DE MACEDO K A C, SCHEIBER R, and MOREIRA A. First evaluations of airborne InSAR time-series[C]. 2006 European Conference on Synthetic Aperture Radar, Dresden, Germany, 2006.[6] PRATS P, SCHEIBER R, MOREIRA A, et al. Advanced D-InSAR techniques applied to a time series of airborne SAR data[C]. 2007 IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, 2007: 4874–4877. doi: 10.1109/IGARSS.2007.4423953.[7] PRATS P, REIGBER A, MALLORQUI J J, et al. Estimation of the temporal evolution of the deformation using airborne differential SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(4): 1065–1078. doi: 10.1109/TGRS.2008.915758[8] BRANCATO V, JÄGER M, SCHEIBER R, et al. A motion compensation strategy for airborne repeat-pass SAR data[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(10): 1580–1584. doi: 10.1109/LGRS.2018.2848596[9] ROSEN P A, HENSLEY S, WHEELER K, et al. UAVSAR: A new NASA airborne SAR system for science and technology research[C]. 2006 IEEE Conference on Radar, Verona, USA, 2006: 22–29. doi: 10.1109/RADAR.2006.1631770.[10] MADSEN S N, HENSLEY S, WHEELER K, et al. UAV-based L-band SAR with precision flight path control[C]. SPIE 5659, Enabling Sensor and Platform Technologies for Spaceborne Remote Sensing, Honolulu, USA, 2005: 51–60. doi: 10.1117/12.578373.[11] HENSLEY S, ZEBKER H, JONES C, et al. First deformation results using the NASA/JPL UAVSAR instrument[C]. The 2nd Annual-Pacific Conference on Synthetic Aperture Radar, Xi’an, China, 2009: 1051–1055. doi: 10.1109/APSAR.2009.5374246.[12] HENSLEY S, ZEBKER H, JONES C, et al. Use of airborne SAR interferometry for monitoring deformation of large-scale man-made features[C]. International Workshop Spatial Information Technologies, Hong Kong, China, 2010.[13] HENSLEY S, JONES C, MOLLER D, et al. Ice studies using UAVSAR L-band and Ka-band data[C]. The 8th European Conference on Synthetic Aperture Radar, Aachen, Germany, 2010.[14] FORNARO G, LANARI R, SANSOSTI E, et al. Airborne differential interferometry: X-band experiments[C]. 2004 International Geoscience and Remote Sensing Symposium, Anchorage, USA, 2004: 3329–3332. doi: 10.1109/IGARSS.2004.1370416.[15] Perna S, Wimmer C, Moreira J, et al. X-band airborne differential interferometry: Results of the OrbiSAR campaign over the Perugia area[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(2): 489–503. doi: 10.1109/TGRS.2007.908871[16] DE MACEDO K A C, WIMMER C, BARRETO T L M, et al. Long-term airborne DInSAR measurements at X- and P-bands: A case study on the application of surveying geohazard threats to pipelines[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(3): 990–1005. doi: 10.1109/jstars.2012.2187275[17] 钟雪莲, 向茂生, 郭华东, 等. 机载重轨干涉合成孔径雷达的发展[J]. 雷达学报, 2013, 2(3): 367–381. doi: 10.3724/SP.J.1300.2013.13005ZHONG Xuelian, XIANG Maosheng, GUO Huadong, et al. Current development in airborne repeat-pass interferometric synthetic aperture radar[J]. Journal of Radars, 2013, 2(3): 367–381. doi: 10.3724/SP.J.1300.2013.13005[18] LIN Jianhe, LV Xiaolei, and LI Rui. Automatic registered back-projection approach based on object orientation for airborne repeat-track interferometric SAR[J]. IET Radar, Sonar & Navigation, 2018, 12(9): 1066–1076. doi: 10.1049/iet-rsn.2018.5053[19] CAO Ning, LEE H, ZAUGG E, et al. Estimation of residual motion errors in airborne SAR interferometry based on time-domain backprojection and multisquint techniques[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 2397–2407. doi: 10.1109/TGRS.2017.2779852[20] 钟雪莲. 机载重轨干涉SAR残余运动估计方法研究[D]. [博士论文], 中国科学院大学, 2011: 111–140.ZHONG Xuelian. Residual motion estimation for airborne repeat-pass interferometric SAR[D]. [Ph.D. dissertation], University of Chinese Academy of Sciences, 2011: 111–140.[21] MOREIRA A and HUANG Y H. Airborne SAR processing of highly squinted data using a chirp scaling approach with integrated motion compensation[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(5): 1029–1040. doi: 10.1109/36.312891[22] MOREIRA A, MITTERMAYER J, and SCHEIBER R. Extended chirp scaling algorithm for air-and spaceborne SAR data processing in stripmap and ScanSAR imaging modes[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(5): 1123–1136. doi: 10.1109/36.536528[23] REIGBER A, ALIVIZATOS E, POTSIS A, et al. Extended wavenumber-domain synthetic aperture radar focusing with integrated motion compensation[J]. IEE Proceedings- Radar, Sonar and Navigation, 2006, 153(3): 301–310. doi: 10.1049/ip-rsn:20045087[24] CANTALLOUBE H and DUBOIS-FERNANDEZ P. Airborne X-band SAR imaging with 10 cm resolution: Technical challenge and preliminary results[J]. IEE Proceedings- Radar, Sonar and Navigation, 2006, 153(2): 163–176. doi: 10.1049/ip-rsn:20045097[25] DE MACEDO K A C, SCHEIBER R, and MOREIRA A. An autofocus approach for residual motion errors with application to airborne repeat-pass SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(10): 3151–3162. doi: 10.1109/tgrs.2008.924004[26] ZHONG Xuelian, XIANG Maosheng, YUE Huanyin, et al. Algorithm on the estimation of residual motion errors in airborne SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1311–1323. doi: 10.1109/tgrs.2013.2249665[27] ZHONG Xuelian, GUO Huadong, XIANG Maosheng, et al. Residual motion estimation with point targets and its application to airborne repeat-pass SAR interferometry[J]. International Journal of Remote Sensing, 2012, 33(3): 762–780. doi: 10.1080/01431161.2011.577838[28] PRATS P, REIGBER A, and MALLORQUI J J. Interpolation-free coregistration and phase-correction of airborne SAR interferograms[J]. IEEE Geoscience and Remote Sensing Letters, 2004, 1(3): 188–191. doi: 10.1109/lgrs.2004.828181[29] REIGBER A, PRATS P, and MALLORQUI J J. Refined estimation of time-varying baseline errors in airborne SAR interferometry[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(1): 145–149. doi: 10.1109/lgrs.2005.860482[30] FORNARO G, SANSOSTI E, LANARI R, et al. Role of processing geometry in SAR raw data focusing[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(2): 441–454. doi: 10.1109/TAES.2002.1008978[31] KOBAYASHI T, UMEHARA T, UEMOTO J, et al. Evaluation of digital elevation model generated by an airborne interferometric SAR (Pi-SAR2)[C]. 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, Canada, 2014: 378–381. doi: 10.1109/IGARSS.2014.6946437.[32] FANG Dongsheng, LV Xiaolei, YUN Ye, et al. An InSAR fine registration algorithm using uniform tie points based on Voronoi diagram[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(8): 1403–1407. doi: 10.1109/LGRS.2017.2715189 Relative Articles
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Dai Da-hai, Liao Bin, Xiao Shun-ping, Wang Xue-song. Advancements on Radar Polarization Information Acquisition and Processing[J]. Journal of Radars, 2016, 5(2): 143-155. doi: 10.12000/JR15103
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- Figure 1. L-band SAR system for airborne repeat-pass interferometry
- Figure 2. Internal calibration loop of the SAR system
- Figure 3. Route planning for the SAR campaign
- Figure 4. Corner reflectors deployed in the calibrating area
- Figure 5. Flight tracks for the repeat-pass interferometric campaign
- Figure 6. The repeat-pass flight tracks for the test areas (partial)
- Figure 7. The amplitude image of HH polarization for the first test area
- Figure 8. The amplitude image of HH polarization for the second test area
- Figure 9. The spectrum amplitude and phase errors of the chirp signal for the L-band SAR system
- Figure 10. The focused point image before amplitude and phase compensation
- Figure 11. The focused point image after amplitude and phase compensation
- Figure 12. The imaging diagram for airborne repeat-pass interferometric SAR
- Figure 13. The imaging results for the corner reflectors
- Figure 14. The principle diagram of MS when coregistration error exists between the master and slave images
- Figure 15. The observation geometry for airborne repeat-pass interferometric SAR
- Figure 16. Data processing steps for interferometric SAR
- Figure 17. The displacement between the actual and referenced tracks for the first test area
- Figure 18. The coherence and interferometry map for the first test area
- Figure 19. The coherence plot for the test area
- Figure 20. The high-order residual motion errors derived from the interferometric fringes with MS
- Figure 21. The interferometry map before and after RME compensation for the first test area (after flat-earth removing)
- Figure 22. The derived DEM after RME compensation
- Figure 23. The DEM difference map before and after RME compensation
- Figure 24. The coherence for the second test area
- Figure 25. The high-order RME derived from the interferometric fringes with MS
- Figure 26. The interferometry map before and after RME compensation for the second test area (after phase unwrapping)
- Figure 27. 3-dimentinal display of the derived DEM for the second test area