基于最小二乘平差的全极化SAR配准偏移量估计方法
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摘要
全极化合成孔径雷达影像(PolSAR)相对单极化SAR影像有更加丰富的地表信息。为了提高SAR影像偏移量跟踪技术估算偏移量的精度,提出一种基于最小二乘平差法的全极化SAR数据偏移量估计方法。首先利用全极化SAR不同极化通道数据估算偏移量得到多个观测值,然后通过最小二乘平差法对多余观测值循环剔除粗差得到最优偏移量。文中选取美国科罗拉多州湖城(Lake city)区域的两景JPL无人机UAVSAR全极化SAR影像进行实验,结果表明,文中新方法具有良好的粗差探测和去除功能,相对于已有研究结果,在方位向和距离向的偏移量估算精度都有明显提高,达到15%~25%。新方法提高了偏移量跟踪估算偏移量的精度,这对利用偏移量跟踪技术监测滑坡、地震及冰川等有重要的意义。
Comparing with single-channel SAR image,the full polarimetric synthetic aperture radar image(PolSAR)has more abundant terrain information.To improve the offset estimation accuracy of SAR images,the paper proposes an offset-tracking method based on least square adjustment of full polarimetric SAR data.Firstly,the multiple offset observes are obtained of different polarimetric channel SAR images.Then the least square adjustment is used to eliminate the errors and get the optimal results.Finally,two JPL UAVSAR full polarimetric SAR images are selected to cover Lake City,Colorado,USA for validating the proposed method.The experimental results show that,compared with the single-channel SAR image,the offset errors of the proposed method decrease significantly.The precision of offsets in range and azimuth improves by 15% ~25%.The proposed method improves the accuracy of offset tracking.It is significant to use the offset-tracking method for monitoring deformation of landslide,earthquake and glacier.
Comparing with single-channel SAR image,the full polarimetric synthetic aperture radar image(PolSAR)has more abundant terrain information.To improve the offset estimation accuracy of SAR images,the paper proposes an offset-tracking method based on least square adjustment of full polarimetric SAR data.Firstly,the multiple offset observes are obtained of different polarimetric channel SAR images.Then the least square adjustment is used to eliminate the errors and get the optimal results.Finally,two JPL UAVSAR full polarimetric SAR images are selected to cover Lake City,Colorado,USA for validating the proposed method.The experimental results show that,compared with the single-channel SAR image,the offset errors of the proposed method decrease significantly.The precision of offsets in range and azimuth improves by 15% ~25%.The proposed method improves the accuracy of offset tracking.It is significant to use the offset-tracking method for monitoring deformation of landslide,earthquake and glacier.
引文
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[8]陈强,罗容,杨莹辉,等.利用SAR影像配准偏移量提取地表形变的方法与误差分析[J].测绘学报,2015,44(3):301-308.
[9]王超.全极化合成孔径雷达图像处理[M].北京:科学出版社,2008.
[10]王兴玲,胡德勇,唐宏,等.基于Bayes决策的机载全极化SAR图像滑坡信息提取[J].国土资源遥感,2014,26(2):121-127.
[11]LEE J S,POTTIER E.Polarimetric radar imaging:from basics to applications[M].CRC press,2009.
[12]刘国祥,丁晓利,李志林,等.星载SAR复数图像的配准[J].测绘学报,2001,30(1):60-66.
[13]ZITOVA B,FLUSSER J.Image registration methods:a survey[J].Image and vision computing,2003,21(11):977-1000.
[14]DUTILLEUL P,STOCKWELL J D,FRIGON D.The Mantel Test versus Pearson's Correlation Analysis:Assessment of the Differences for Biological and Environmental Studies[J].Journal of Agricultural Biological&Environmental Statistics,2000,5(2):131-150.
[15]STROZZI T,KOURAEV A,WIESMANN A,et al.Estimation of Arctic glacier motion with satellite Lband SAR data[J].Remote Sensing of Environment.2008,112(3):636-45.
[16]YOO J C,HAN T H.Fast Normalized Cross-Correlation[J].Circuits Systems&Signal Processing,2009,82(2):144-156.
[2]李佳,李志伟,汪长城,等.SAR偏移量跟踪技术估计天山南依内里切克冰川运动[J].地球物理学报,2013,56(4):1226-1236.
[3]HU J,LI Z W,DING X L,et al.Two-dimensional co-seismic surface displacements field of the Chi-Chi earthquake inferred from SAR image matching[J].Sensors.2008,21;8(10):6484-95.
[4]KB A,VOLLMER M.Surface Geometry,Thickness Changes and Flow Fields on Creeping Mountain Permafrost:Automatic Extraction by Digital Image Analysis[J].Permafrost&Periglacial Processes,2000,11(4):315-326.
[5]SINGLETON A,LI Z,HOEY T,et al.Evaluating sub-pixel offset techniques as an alternative to D-InSAR for monitoring episodic landslide movements in vegetated terrain[J].Remote Sensing of Environment.2014,5;147:133-44.
[6]ZEBKER H.Polarisation:Applications in Remote Sensing[J].Physics Today.2010,1;63(10):53-4.
[7]付海强,汪长城,朱建军,等.一种改进的PolInSAR PCT方法反演植被垂直结构[J].测绘工程,2014,23(11):56-61.
[8]陈强,罗容,杨莹辉,等.利用SAR影像配准偏移量提取地表形变的方法与误差分析[J].测绘学报,2015,44(3):301-308.
[9]王超.全极化合成孔径雷达图像处理[M].北京:科学出版社,2008.
[10]王兴玲,胡德勇,唐宏,等.基于Bayes决策的机载全极化SAR图像滑坡信息提取[J].国土资源遥感,2014,26(2):121-127.
[11]LEE J S,POTTIER E.Polarimetric radar imaging:from basics to applications[M].CRC press,2009.
[12]刘国祥,丁晓利,李志林,等.星载SAR复数图像的配准[J].测绘学报,2001,30(1):60-66.
[13]ZITOVA B,FLUSSER J.Image registration methods:a survey[J].Image and vision computing,2003,21(11):977-1000.
[14]DUTILLEUL P,STOCKWELL J D,FRIGON D.The Mantel Test versus Pearson's Correlation Analysis:Assessment of the Differences for Biological and Environmental Studies[J].Journal of Agricultural Biological&Environmental Statistics,2000,5(2):131-150.
[15]STROZZI T,KOURAEV A,WIESMANN A,et al.Estimation of Arctic glacier motion with satellite Lband SAR data[J].Remote Sensing of Environment.2008,112(3):636-45.
[16]YOO J C,HAN T H.Fast Normalized Cross-Correlation[J].Circuits Systems&Signal Processing,2009,82(2):144-156.