一种基于封闭均匀区域的SAR图像配准方法

苏娟; 李彬; 王延钊

doi:10.11999/JEIT160141

一种基于封闭均匀区域的SAR图像配准方法

doi: 10.11999/JEIT160141

苏娟^1, ,,
李彬¹,
王延钊¹

基金项目:

国家自然科学基金(61302195)

计量
- 文章访问数: 974
- HTML全文浏览量: 142
- PDF下载量: 325
- 被引次数: 0
出版历程
- 收稿日期: 2016-01-29
- 修回日期: 2016-10-28
- 刊出日期: 2016-12-19

SAR Image Registration Algorithm Based on Closed Uniform Regions

SU Juan^{1
, ,},
LI Bin¹,
WANG Yanzhao¹

Funds:

The National Natural Science Foundation of China (61302195)

摘要

摘要: 为克服图像间灰度差异、旋转差异和尺度差异对SAR图像配准精度的影响，该文利用均匀区域在SAR图像中的灰度统计特性，提出一种基于稳定封闭均匀区域的SAR图像配准算法。首先基于多尺度非线性扩散理论，提取得到轮廓保持性较好的封闭均匀区域；然后构建具有仿射不变性的区域特征，采取基于多边形拟合的区域粗匹配方法和基于重合度的区域精匹配方法，实现由粗至精的区域匹配；最后用匹配区域的质心点构建图像变换模型。实验结果表明，该算法配准精度高，能有效克服待配准图像之间的灰度差异、旋转差异和尺度差异，对噪声具有较好的适应性。
- SAR图像配准 /
- 封闭均匀区域 /
- 多尺度非线性扩散 /
- 仿射不变性
Abstract: In order to overcome the influence of gray difference, rotation difference and scale difference on image registration accuracy, the gray statistic property of uniform regions in SAR images is utilized and a SAR image registration algorithm based on stable closed uniform regions is proposed. Firstly, based on the multi-scale nonlinear diffusion theory, closed uniform regions with good contour pervserving ability are respectively extracted from two images. Secondly, two affine-invariant region features based on polygon fitting and coincidence degree are constructed to realized the coarse-to-fine region matching. Finally, the centroids of matched regions are used to construct the transform model between two images. Experimental results demonstrate that, the proposed algorithm has high registration accuracy, and is effective for gray difference, rotation difference and scale difference, moreover, it has high adaptability to noise.
- SAR image registration /
- Closed uniform regions /
- Multi-scale nonlinear diffusion /
- Affine-invariant

HTML全文

参考文献(18)

ZITOVA B and FLUSSER J. Image registration methods: a survey[J]. Image and Vision Computing, 2003, (21): 977-1000.

LOWE D G. Distinctive image features from scale-invariant key points[J]. International Journal of Computer Vision, 2004, (60): 91-110.

LONG Tengfei, JIAO Weili, HE Guojin, et al. A generic framework for image rectification using multiple types of feature[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, (102): 161-171. doi: 10.1016/j.isprsjprs.2015. 01.015.

[s2]DELLINGER F, DELON J, GOUSSEAU Y, et al. SAR-SIFT: a SIFT-like algorithm for SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 453-466. doi: 10.1109/TGRS.2014.2323552.

LI Dapeng. A novel method for multi-angle SAR image matching[J]. Chinese Journal of Aeronautics, 2015, 28(1): 240-249. doi: 10.1016/j.cja.2014.12.019.

CHEN Tianze, CHEN Limin, and SU Yi. A SAR image registration method based on pixel migration of edge-point feature[J]. IEEE Transactions on Geoscience and Remote Sensing Letters, 2014, 11(5): 906-910. doi: 10.1109/LGRS. 2013.2281729.

XU Chuan, SUI Haigang, LI Hongli, et al. An automatic optical and SAR image registration method with iterative level set segmentation and SIFT[J]. International Journal of Remote Sensing, 2015, 36(15): 3997-4017. doi: 10.1080/ 01431161.2015.1070321.

苏娟, 林行刚, 刘代志. 一种基于结构特征边缘的多传感器图像配准方法[J]. 自动化学报, 2009, 35(3): 251-257. doi: 10. 3724/SP.J.1004.2009.00251.

SU Juan, LIN Xingang and LIU Daizhi. A multi-sensor image registration algorithm based on structure feature edges[J]. Acta Automatica Sinica, 2009, 35(3): 251-257. doi: 10.3724/ SP.J.1004.2009.00251.

WANG Jinfeng, PI Yiming, and CAO Zongjie. Level set method for SAR image coregistration[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(4): 615-619. doi: 10.1109 /LGRS.2008.2000995.

XIONG Boli, HE Zhiguo, HU Canbin, et al. A method of acquiring tie points based on closed regions in SAR images[C]. IEEE International Conference on Geoscience and Remote Sensing, Munich, Germany, 2012: 2121-2124.

DAI Xiaolong and KHORRAM S. A feature-based image registration algorithm using improved chain-code representation combined with invariant moments[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5): 2351-2362.

李振华, 江耿红, 徐胜男, 等. 基于轮廓多边形拟合的红外与可见光图像配准算法[J]. 系统工程与电子技术, 2015, 37(12): 2872-2878. doi: 10.3969/j.issn.1001-506X.2015.12.32.

LI Zhenhua, JIANG Genghong, XU Shengnan, et al. Image registration algorithm for infrared and visible images based on contour polygon fitting[J]. Systems Engineering and Electronics, 2015, 37(12): 2872-2878. doi: 10.3969/j.issn. 1001-506X.2015.12.32.

刘哲, 杨健, 张丽. 基于椭圆傅里叶描述子的遥感图像配准算法[J]. 光电子激光, 2015, 26(2): 352-359. doi: 10.16136/j.joel. 2015.02.0566.

LIU Zhe, YANG Jiang, and ZHANG Li. Remote sensing image registration algorithm based on elliptic Fourier descriptor[J]. Journal of Optoelectronics and Laser, 2015, 26(2): 352-359. doi: 10.16136/j.joel.2015.02.0566.

PERONA P and MALIK J. Scale space and edge detection using anisotropic diffusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7): 629-639.

HE X C and YUNG NHC. Curvature scale space corner detector with adaptive threshold and dynamic region of support[C]. IEEE International Conference on Pattern Recognition, Cambridge, UK, 2004: 791-794.

施引文献

资源附件(0)

访问统计