全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
测绘学报  2015 

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, PP. 274-281

Keywords: 自适应归一化互相关系数和,多基线影像匹配,匹配方向线,机载SAR影像

Full-Text   Cite this paper   Add to My Lib

Abstract:

为了有效利用合成孔径雷达(syntheticapertureradar,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(sumofadaptivenormalizedcross-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.

References

[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.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133