基于稳定点加权的GBSAR大气扰动校正方法

doi:10.3969/j.issn.0258-2724.2017.01.028

基金项目:

国家自然科学基金资助项目（41304025）

江苏省自然科学基金资助项目（BK20130831）

详细信息

作者简介:
黄其欢(1978-),男,副教授,博士,研究方向为InSAR理论与应用,E-mail:GPSRS@163.com

计量
- 文章访问数:603
- HTML全文浏览量:95
- PDF下载量:408
- 被引次数:0
出版历程
- 收稿日期:2015-02-06
- 刊出日期:2017-02-25

GBSAR Atmospheric Turbulence Calibration Based on Weighted Stable Points

摘要

摘要:为解决地基合成孔径雷达变形监测中大气扰动对监测精度的影响问题，基于方位向大气扰动的相关特性，提出了一种基于稳定点加权的地基合成孔径雷达大气扰动校正新方法.该方法基于稳定像元推算大气扰动因子，利用大气扰动因子长度去除受扰动剧烈的影像，根据像元间距离加权获取非稳定像元大气扰动因子，从而校正非稳定点大气扰动，推算出变形信息.隔河岩大坝IBIS-L变形监测实验结果表明：雷达视线向大气扰动对变形的影响最大达75 mm；通过新方法校正后，大气扰动明显减小，变形监测精度提高到1 mm，且变形趋势与同期大坝垂线监测结果一致.
- GBSAR/
- 干涉/
- 变形监测/
- 大气校正/
- 大坝
Abstract:Atmospheric disturbance is one of the key factors affecting the accuracy of ground based synthetic aperture radar (GBSAR) interferometry for deformation monitoring. Considering the correlation of atmosphere delay with azimuth direction, a new GBSAR atmospheric turbulence calibration method based on distance-weighted stable points is proposed. In this method, the atmospheric disturbance factor is first calculated from the stable points, and the images which are severely affected by atmospheric disturbance are removed using the length of the atmospheric disturbance factor. Then, the atmospheric disturbance factor of unstable pixels are obtained by distance-weighting of stable points to calibrate the atmospheric disturbance on unstable pixels and derive the final product of deformation information. As a case study, the proposed method was applied to the deformation monitoring of Geheyan dam using the IBIS-L GBSAR system. The results show that the maximum deformation affected by the atmospheric disturbance along the radar line of sight (LOS) reaches 75 mm, but the influence is significantly reduced after the calibration with the presented method. The accuracy of the deformation monitoring was improved to 1 mm, and the monitored deformation trend has a good agreement with the plummet measurements.
- ground-based SAR/
- interferometry/
- displacement monitoring/
- atmospheric calibration/
- dams

HTML全文

参考文献 (16)

ROSEN P A, HENSLEY S, JOUGHIN I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2000, 88(3):333-382.

聂运菊,刘国祥,石金峰,等. 考虑干涉相位噪声的PSI组合及其沉降监测应用[J]. 江南娱乐网页版入口官网下载安装学报,2013,48(3):448-454. NIE Yunju, LIU Guoxiang, SHI Jinfeng, et al. Interferometric combination for persistent scatter interferometry considering interferometric phase noise and its application to subsidence mon-itoring[J]. Journal of Southwest Jiaotong University, 2013, 48(3):448-454.

NOFERINI L, PIERACCINI M, MECATTI D, et al. Using GBSAR technique to monitor slow moving landslide[J]. Engineering Geology, 2007, 95:88-98.

DEL V, INTRIERI E, LUZI G, et al. Using ground based radar interferometry during emergency:the case of the A3 motorway (Calabria Region, Italy) threatened by a landslide[J]. Natural Hazards Earth Syst Science,2011, 11(9):2483-2495.

DEL V, CASAGLI N, JOAQUIMF G, et al. Ruinon landslide (Valfurva, Italy) activity in relation to rainfall by means of GBInSAR monitoring[J]. Landslides, 2012, 9(4):497-509.

LUZI G, PIERACCINI M, MECATTI D, et al. Monitoring of an alpine glacier by means of ground-based SAR interferometry[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(3):495-99.

杨红磊,彭军还,崔洪曜. GB-InSAR监测大型露天矿边坡变形[J]. 地球物理学进展,2012,27(4):1804-1811. YANG Honglei, PENG Junhuan, CUI Hongyao. Slope of large-scale open-pit mine monitoring deformation by using ground based interferometry[J]. Progress in Geophy, 2012, 27(4):1804-1811.

PIERACCINI M, TARCHI D, RUDOLF H, et al. Interferometric radar for remote monitoring of building deformations[J]. Electronics Letters, 2000, 36:569-570.

LUZI G, MONSERRAT O, CROSETTO M. The potential of coherent radar to support the monitoring of the health state of buildings[J]. Research in Nondestructive Evaluation, 2012, 23(3):125-145.

ZAKSEK K, HORT M, LORENZ E. Satellite and ground based thermal observation of the 2014 effusive eruption at stromboli volcano[J]. Remote Sensing, 2015, 7(12):17190-17211.

DI T F, CAUCHIE L, CASAGLI N, et al. Decrypting geophysical signals at stromboli volcano (Italy):integration of seismic and ground-based InSAR displacement data[J]. Geophysical Research Letters, 2014, 41(8):2753-2761.

TARCHI D, RUDOLF H, LUZI G, et al. SAR interferometry for structural changes detection:a demonstration test on a dam[C]//Proceedings of IEEE International Geoscience and Remote Sensing Symposium.[s.l.]:IEEE, 1999:1522-1524.

RELSPERGER S, LFER G, GERSTENECKER C. Monitoring of displacements with ground-based microwave interferometry:IBIS-S and IBIS-L[J]. Journal of Applied Geodesy, 2010(4):41-54.

NOFERINI L, PIERACCINI M, MECATTI D, et al. Permanent scatterers analysis for atmospheric correction in ground-based SAR Interferometry[J]. IEEE Trans. on GRS, 2005, 43(7):1459-1471.

IANNINI L, MONTI GUARNIERI A, GIUDICI D. Atmospheric phase screen in ground-based radar:statistics and compensation[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(3):537-541.

陈强,刘国祥,李永树,等. 干涉雷达永久散射体自动探测-算法与实验结果[J]. 测绘学报,2006,35(2):112-117. CHEN Qiang, LIU Guoxiang, LI Yongshu, et al. Automated detection of permanent scatterers in radar interferometry:algorithm and testing results[J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(2):112-117.

施引文献

附加材料 (0)

访问统计

点击查看大图

计量

文章访问数:603
HTML全文浏览量:95
PDF下载量:408
被引次数:0