A Space-Borne InSAR Image Registration by Aided by a Voronoi Diagram

WANG Bangsong; ZHANG Jixian; LU Lijun; HUANG Guoman; ZHAO Zheng

doi:10.13203/j.whugis20140549

Volume 41 Issue 10

Oct. 2016

Turn off MathJax

Article Contents

Abstract

References

Geomatics and Information Science of Wuhan University > 2016 > 41(10): 1339-1343. > DOI: 10.13203/j.whugis20140549

WANG Bangsong, ZHANG Jixian, LU Lijun, HUANG Guoman, ZHAO Zheng. A Space-Borne InSAR Image Registration by Aided by a Voronoi Diagram[J]. Geomatics and Information Science of Wuhan University, 2016, 41(10): 1339-1343. DOI: 10.13203/j.whugis20140549

Citation:

PDF (3096 KB)

A Space-Borne InSAR Image Registration by Aided by a Voronoi Diagram

1.
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
2.
Chinese Academy of Surveying and Mapping, Beijing 100830, China

Funds:

The National Natural Science Foundation of China No. 41401530

More Information

Received Date: March 15, 2015
Published Date: October 04, 2016

Graphical Abstract

Abstract

Abstract

In the InSAR co-registration procedure, the transform model between images in image pair can be fitted by the rational polynomial, and model parameters can be inverted by tie points at high accuracy and uniform distribution. However, traditional algorithms consider neither the importance of tie points or take into account the spacial distribution of tie points, which reduces the polynomial fitting accuracy. This paper proposes a Voronoi diagram based co-registration algorithm. It takes into account both weight and distribution of tie points. The algorithm was applied to process X band interferometry images acquired by the Cosmos-Skymed-1/2 satellite from somewhere in the west China. Compared to traditional methods, tests show that the Voronoi diagram based algorithm improves the correct matching ratio, acquires tie points at higher coherence with more uniform spatial distribution, thus achieving transform parameters at higher precision.
- InSAR,
- co-registration,
- Voronoi diagram,
- coherent coefficient

FullText(HTML)

References (14)

References

[1]	史磊,李平湘,杨杰.混合三角网极化干涉SAR影像配准[J].武汉大学学报·信息科学版,2012,37(3):330-333 http://ch.whu.edu.cn/CN/abstract/abstract153.shtml Shi Lei, Li Pingxiang, Yang Jie. Polarimetric and Interferometric SAR Imagery Registration Based on Hybrid Triangle[J].Geomatics and Information Science of Wuhan University, 2012, 37(3):330-333 http://ch.whu.edu.cn/CN/abstract/abstract153.shtml
[2]	Zeng Qiming, Xie Xuetong. A FFT-based Complex Correlation Function Method Applied to Interferometric Complex Image Co-registration[J].Acta Geodaetica et Cartographica Sinica, 2004, 33(2):127-131 http://cn.bing.com/academic/profile?id=2371236825&encoded=0&v=paper_preview&mkt=zh-cn
[3]	Qian L, John F V, Howard A Z. New Approaches in Interferometric SAR Data Processing[J]. IEEE Trans. Geosci. Remote Sens., 1992, 30(3):560-567 doi: 10.1109/36.142934
[4]	Howard A Z, Charles L W. Accuracy of Topographic Maps Derived from ERS-1 Interferometric Radar[J].IEEE Trans. Geosci. Remote Sens., 1994, 32(4):823-836 doi: 10.1109/36.298010
[5]	Liao Mingsheng, Zhang Zuxun. The Study on Automatic Registration of InSAR Images[J].Geo-spatial Information Science, 1999, 2(1):30-34 doi: 10.1007/BF02826715
[6]	张登荣,俞乐.一种高精度的干涉雷达复数影像配准方法[J].遥感学报,2007,11(4):563-567 http://www.cnki.com.cn/Article/CJFDTOTAL-YGXB200704018.htm Zhang Dengrong, Yu Le. A High-precision Co-registration Method for InSAR Image Processing[J].Journal of Remote sensing, 2007, 11(4):563-567 http://www.cnki.com.cn/Article/CJFDTOTAL-YGXB200704018.htm
[7]	Palmann C, Mavromatis S.SAR Image Registration Using a New Approach Based on the Generalized Hough Transform[C]. Conference of International Society for Photogrammetry and Remote Sensing, Beijing, 2008
[8]	Abdelfattah R. InSAR Image Co-registration Using the Fourier-Mellin Transform[J]. International Journal of Remote Sensing, 2005, 26(13):2865-2876 doi: 10.1080/01431160512331338050
[9]	Dong Li, Yunhua Zhang. A Fast Offset Estimation Approach for InSAR Image Subpixel Registration[J]. IEEE Geosci. Remote Sens. Lett., 2011, 9(2):267-271 http://cn.bing.com/academic/profile?id=2147781160&encoded=0&v=paper_preview&mkt=zh-cn
[10]	Donny Danudirdjo. Local Sub-pixel Co-registration of Interferometric Synthetic Aperture Radar Images Based on Fractal Models[J].IEEE Trans. Geosci. Remote Sens., 2013, 51(7):823-836
[11]	Ryo Natsuaki, Akira Hirose. InSAR Local Co-registration Method Assisted by Shape-from-Shading[J].IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., 2013, 6(2):953-959 doi: 10.1109/JSTARS.2012.2219506
[12]	刘国祥,丁晓利,李志林.星载SAR复数图像的配准[J].测绘学报,2001,30(1):60-66 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200101012.htm Liu Guoxiang, Ding Xiaoli, Li Zhilin. Co-Registration of Satellite SAR Complex Images[J].Acta Geodaetica et Cartographica Sinica, 2001, 30(1):60-66 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200101012.htm
[13]	闫浩文,王邦松.地图点群综合的加权Voronoi算法[J].武汉大学学报·信息科学版,2013,38(9):1088-1091 http://ch.whu.edu.cn/CN/abstract/abstract2740.shtml Yan Haowen, Wang Bangsong. A MWVD-based Algorithm for Point Cluster Generalization[J].Geomatics and Information Science of Wuhan University, 2013, 38(9):1088-1091 http://ch.whu.edu.cn/CN/abstract/abstract2740.shtml
[14]	汪鲁才,王耀南,毛建旭.基于相关匹配和最大谱图像配准相结合的InSAR复图像配准方法[J].测绘学报,2003,32(4):320-324 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200304007.htm Wang Lucai, Wang Yaonan, Mao Jianxu. Registration of InSAR Image Based on Integrating Correlation-Registration and Max-Spectrum Image Registration[J].Acta Geodaetica et Cartographica Sinica, 2003, 32(4):320-324 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200304007.htm

[1]	LU Xiaoping, LU Yao, JIAO Jinlong, TONG Xiaohua, ZHANG Jixian. Key Frame Extraction Algorithm for Video Images Based on Correlation Coefficient of Overlap Regions[J]. Geomatics and Information Science of Wuhan University, 2019, 44(2): 260-267. DOI: 10.13203/j.whugis20170038
[2]	LI Jiatian, LUO Fuli, YU Li, ZHANG Lan, KANG Shun, LIN Yan. The Gradient Voronoi Diagram and Construction Algorithm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(2): 163-170. DOI: 10.13203/j.whugis20140025
[3]	SHEN Jingwei, ZHOU Tinggang, WU Mingguang, GU Jingyi. Application of 3D Voronoi Diagram to Direction Relation Calculation[J]. Geomatics and Information Science of Wuhan University, 2013, 38(6): 746-750.
[4]	WANG Zhonghui, YAN Haowen. Computation of Direction Relations Between Object Groups Based on Direction Voronoi Diagram Model[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 584-588.
[5]	YAN Chaode, BAI Jianjun, ZHAO Renliang. Voronoi-based Distribution Measure of Point Objects in Adjacent Space[J]. Geomatics and Information Science of Wuhan University, 2009, 34(1): 48-51.
[6]	YAN Haowen, GUO Renzhong. A Formal Description Model of Directional Relationships Based on Voronoi Diagram[J]. Geomatics and Information Science of Wuhan University, 2003, 28(4): 468-471,479.
[7]	YAN Haowen, GUO Renzhong. Theorization of Directional Relationship Description Based on Voronoi Diagram[J]. Geomatics and Information Science of Wuhan University, 2002, 27(3): 306-310.
[8]	Li Chengming, Chen Jun. Raster-based Method for Voronoi Diagram[J]. Geomatics and Information Science of Wuhan University, 1998, 23(3): 208-210.
[9]	Li chengming, Chen Jun, Zhu Yinghao. Spatial Adjancency Query Based on Voronoi Diagram[J]. Geomatics and Information Science of Wuhan University, 1998, 23(2): 128-131.
[10]	Chen Jun, Cui Bingliang. Using Voronoi Approach of Developing Topological Functions in MapInfo[J]. Geomatics and Information Science of Wuhan University, 1997, 22(3): 195-200,211.

Cited By

Cited by

Periodical cited type(4)

1.	唐固城，谢丽芳，刘烜. 基于InSAR复数影像配准方法研究综述. 北京测绘. 2023(01): 1-7 .
2.	徐斌，张艳. 地下水化学类型分区的GIS空间分析模型. 武汉大学学报(信息科学版). 2019(06): 866-874 .
3.	钟何平，唐劲松，马梦博，吴浩然. 共享内存环境下的干涉合成孔径声呐复图像配准及优化方法. 武汉大学学报(信息科学版). 2019(08): 1169-1173 .
4.	吴文豪，张磊，李陶，龙四春，段梦，周志伟，祝传广，蒋廷臣. 基于几何配准的多模式SAR影像配准及其误差分析. 测绘学报. 2019(11): 1439-1451 .

Other cited types(1)

Get Citation

PDF

XML

Article views (1474) PDF downloads (268) Cited by(5)

A Space-Borne InSAR Image Registration by Aided by a Voronoi Diagram

Abstract

References

Related Articles

Cited by

Periodical cited type(4)

Other cited types(1)

Catalog

Related

A Space-Borne InSAR Image Registration by Aided by a Voronoi Diagram

Abstract

References

Related Articles

Cited by

Periodical cited type(4)

Other cited types(1)

Catalog

Related

Export File

Citation

Format

Content