多基线机载合成孔径雷达影像匹配的SANCC法

doi:10.11947/j.AGCS.2015.20140257

测绘学报 ›› 2015, Vol. 44 ›› Issue (3): 274-281.doi: 10.11947/j.AGCS.2015.20140257

多基线机载合成孔径雷达影像匹配的SANCC法

丁昊^1,2, 张继贤², 黄国满², 朱建军¹

1. 中南大学地球科学与信息物理学院, 湖南长沙 410083;
2. 中国测绘科学研究院, 北京 100830

收稿日期:2014-05-23 修回日期:2014-11-02 出版日期:2015-03-20 发布日期:2015-04-01
作者简介:丁昊(1986—),女,博士生,研究方向为雷达摄影测量. E-mail:daisyaza@qq.com
基金资助:
测绘地理信息公益性行业科研专项(201412002;201412010);中国测绘科学研究院基本科研项目(7771303)

Multi-image Matching of Airborne SAR Imagery by SANCC

DING Hao^1,2, ZHANG Jixian², HUANG Guoman², ZHU Jianjun¹

1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. Chinese Academy of Surveying and Mapping, Beijing 100830, China

Received:2014-05-23 Revised:2014-11-02 Online:2015-03-20 Published:2015-04-01
Supported by:
Public Science Research Program of Surveying,Mapping and Geoinformation(Nos.201412002;201412010);Basic Scientific Research Fund of Chinese Academy of Surveying and Mapping(No.7771303)

摘要/Abstract

摘要： 为了有效利用合成孔径雷达(synthetic aperture radar,SAR)多基线影像的几何信息和辐射信息,提高匹配精度,提出了一种适用于多基线SAR幅度影像的自适应归一化互相关系数和(sum of adaptive normalized cross-correlation,SANCC)影像匹配方法.该方法首先利用SAR成像参数、平台参数和物方高程范围构建匹配方向线;然后引入Gestalt原理的接近性和相似性原则对窗口内的像素加权,计算获得沿匹配方向线的SANCC值;最后采用winner-take-all(WTA)优化策略获取多基线影像的匹配结果和物方三维信息.利用国产机载SAR系统获取的多基线影像进行匹配试验,结果表明与常规的相关匹配方法相比,该方法可以获得更为密集、精确的匹配点,有效减少了由重复纹理造成的误匹配,并能较好地解决由纹理匮乏导致的匹配难题.

Abstract: In order to improve accuracy of SAR matching, a multi-image matching method based on sum of adaptive normalized cross-correlation (SANCC) is proposed. It utilizes geometrical and radiometric information of multi-baselinesynthetic aperture radar (SAR)images effectively. Firstly, imaging parameters, platform parameters and approximate digital surface model (DSM) are used to predict matching line. Secondly, similarity and proximity in Gestalt theory are introduced to SANCC, and SANCC measures of potential matching points along the matching line are calculated. Thirdly, multi-image matching results and object coordinates of matching points are obtained by winner-take-all (WTA) optimization strategy. The approach has been demonstrated with airborne SAR images acquired by a Chinese airborne SAR system (CASMSAR system). The experimental results indicate that the proposed algorithm is effective for providing dense and accuracy matching points, reducing the number of mismatches caused by repeated textures, and offering a better solution to match in poor textured areas.

Key words: SANCC, multi-image matching, matching line, airborne SAR imagery

中图分类号:

P231

丁昊, 张继贤, 黄国满, 朱建军. 多基线机载合成孔径雷达影像匹配的SANCC法[J]. 测绘学报, 2015, 44(3): 274-281.

DING Hao, ZHANG Jixian, HUANG Guoman, ZHU Jianjun. Multi-image Matching of Airborne SAR Imagery by SANCC[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3): 274-281.

参考文献

[1] TOUTIN T, GRAY L. State-of-the-Art of Elevation Extraction from Satellite SAR Data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2000, 55: 13-33.
[2] MÉRIC S, FAYARD F, POTTIER É. A Multiwindow Approach for Radargrammetric Improvement[J]. IEEE Transaction on Geoscience and Remote Sensing, 2011, 49(10): 3803-3810.
[3] CHEN Fulong, ZHANG Hong, WANG Chao. Automatic Matching of Tie-points with High-resolution SAR Images[J]. Journal of Image and Graphics, 2006, 11(9): 1276-1281. (陈富龙, 张红, 王超. 高分辨率SAR影像同名点自动匹配技术[J]. 中国图象图形学报, 2006, 11(9): 1276-1281.)
[4] CRESPI M, CAPALDO P, FRATARCANGELI F, et al. DSM Generation from Very High Optical and Radar Sensors: Problems and Potentialities along the Road form the 3D Geometric Modeling to the Surface Model[C]//IEEE International Geoscience and Remote Sensing Symposium (IGARSS). [S.l.]:IEEE, 2010:3596-3599.
[5] YUE Chunyu,JIANG Wanshou.An Automatic Registration Algorithm for SAR and Optical Images Based on Geometry Constraint and Improved SIFT[J].Acta Geodaetica et Cartographica Sinica,2012,41(4):570-576.(岳春宇,江万寿.几何约束和改进SIFT的SAR影像和光学影像自动配准方法[J].测绘学报,2012,41(4):570-576.)
[6] HE Xueyan,ZHANG Lu,BALZ T,et al.Topographic Mapping in Mountainous Areas Using Stereo SAR Assistedby External DEM[J].Acta Geodaetica et Cartographica Sinica,2013,42(3):425-432.(贺雪艳,张路,BALZ T,等. 利用外部DEM 辅助山区SAR立体像对匹配及地形制图[J].测绘学报,2013,42(3):425-432.)
[7] BALZ T, ZHANG L, LIAO M. Direct Stereo Radargrammetric Processing Using Massively Parallel Processing[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2013, 79: 137-146.
[8] EDWARDS E. Digital Surface Modelling in Developing Countries Using Spaceborne SAR Techniques[D]. Nottingham: University of Nottingham, 2005.
[9] WANG Jingxue,ZHU Qing,WANG Weixi.A Dense Matching Algorithm of MultiView Image Based on the Integrated Multiple Matching Primitives[J].Acta Geodaetica et Cartographica Sinica,2013,42(5):691-698.(王竞雪,朱庆,王伟玺.多匹配基元集成的多视影像密集匹配方法[J].测绘学报,2013,42(5):691-698.)
[10] SCHARSTEIN D, SZELISKI R. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms[J]. International Journal of Computer Vision, 2002, 47(1-3): 7-42.
[11] FAN Dazhao, JI Song, DAI Chenguang, et al. Research on Correlation Line of GC3 Multi-view Matching Models for Line-array Digital Imagery[J]. Bulletin of Surveying and Mapping, 2013(9): 19-23. (范大昭, 纪松, 戴晨光, 等. 线阵影像GC³多视匹配模型的匹配方向线研究[J]. 测绘通报, 2013(9): 19-23.)
[12] JI Song, FAN Dazhao, ZHANG Yongsheng, et al. Self-adaptive Window Extension Strategies of Discontinuity Features for MVLL Algorithm[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 199-203. (纪松, 范大昭, 张永生, 等. MVLL 算法中地表断裂特征的自适应窗口变化策略研究[J]. 武汉大学学报:信息科学版, 2011, 36(2): 199-203.)
[13] JI Song. Study on The Strategy and Improvement Method of Multi-view Matching Technology[D]. Zhengzhou:Information Engineering University, 2012. (纪松. 多视匹配策略与优化方法研究[D].郑州:信息工程大学, 2012.)
[14] CURLANDER J. Location of Space-borne SAR Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 1982, GE-20(3): 359-364.
[15] CHEN Erxue. Study on Ortho-rectification Methodology of Space-borne Synthetic Aperture Radar Imagery[D]. Beijing: Chinese Academy of Forestry, 2004. (陈尔学. 星载合成孔径雷达影像正射校正方法研究[D]. 北京:中国林业科学研究院, 2004.)
[16] LEBERL F, MAURICE K, THOMAS J, et al. Automated Radar Image Matching Experiment[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 1994, 49(3): 19-33.
[17] FAUGERAS O, HOTZ B, MATHIEU H, et al. Real Time Correlation-based Stereo: Algorithm, Implementations and Applications[R]. Technical Report RR-2013, INRIA, 1993.
[18] ZHANG Zuxun, ZHANG Jianqing. Digital Photogrammetry[M]. Wuhan: Wuhan University Press, 1997.(张祖勋, 张剑清. 数字摄影测量学[M]. 武汉: 武汉大学出版社, 1997.)
[19] YOON K, KWEON I. Locally Adaptive Support-weight Approach for Visual Correspondence Search[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition.[S.l.]:IEEE, 2005:924-931.
[20] ZHANG L. Automatic Digital Surface Model(DSM) Generation from Linear Array Images[D]. Swiss: Swiss Federal Institute of Technology Zurich, 2005.
[21] FORSTNER W. A Feature Based Correspondence Algorithm for Image Matching[C]//Proceedings of the ISPRS Commission Ⅲ Symposium. Rovaniemi: ISPRS,1986:150-166.

多基线机载合成孔径雷达影像匹配的SANCC法

Multi-image Matching of Airborne SAR Imagery by SANCC

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