融合Ratio边缘信息的水平集SAR图像分割方法

doi:10.3969/j.issn.1001-2400.2010.03.019

Abstract

Abstract:

A variational level set synthetic aperture radar (SAR) image segmentation method based on edge and region information is proposed. An energy functional adapted for SAR image segmentation is defined, which consists of an active contour without the edge model and the edge information of SAR image by the Ratio operator with CFAR. Partial differential equations (PDE) of curve evolution are obtained by minimization of the energy functional. To implement image segmentation, the solution of the PDEs by a variational level set approach is applied. The performance of the method is verified by both synthetic and real SAR images. It is shown that the method can accurately extract targets from the SAR image but without any despeckle step, which possesses a preferable edge accuracy.

Key words: synthetic aperture radar, image segmentation, level set, edge information, partial differential equation

Lü Yan;FENG Da-zheng. Level set SAR image segmentation method combined with ratio edge information[J].J4, 2010, 37(3): 492-495.

References

[1]Osher S, Paragios N. Geometric Level Set Methods in Imaging, Vision and Graphics[M]. New York: Springer, 2003.
[2]Silveira M, Heleno S. Separation Between Water and Land in SAR Images Using Region-based Level Sets[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(3): 471-475.
[3]Shuai Yongmin, Sun Hong, Xu Ge. A Fast Segmentation Scheme Based on Level Set for SAR Images[DB/OL]. [2008-01-04]. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4418660.
[4]Cao Zongjie, Pang Lingli, Pi Yiming. A Variational Level Set Approach for Automatic Target Extraction of SAR Images[DB/OL]. [2008-01-04]. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4418630.
[5]Caselles V, Morel J, Sapiro G. Geodesic Active Contours[J]. Int J Computer Vision, 1997(22): 61-79.
[6]Touzi R, Lopes A, Bousquet P. A Statistical and Geometrical Edge Detector for SAR Images[J]. IEEE Trans on Geoscience and Remote Sensing, 1988, 26 (6): 764-773.
[7]Chan T, Vese L. Active Contours without Edges[J]. IEEE Trans on Image Processing, 2001, 10(2): 266-277.
[8]Sagiv C, Sochen N, Zeevi Y. Integrated Active Contive Contours for Texture Segmentation[J]. IEEE Trans on Image Processing, 2006, 15 (6): 1633-1646.
[9]王程, 王润生. SAR图像直线提取[J]. 电子学报, 2003, 31(6): 816-820.
Wang Cheng, Wang Runsheng. Line Extraction for SAR Image[J]. Acta Eletronica Sinica, 2003, 31(6):816-820.
[10]Osher S, Fedkiw R. Level Set Methods and Dynamic Implicit Surfaces[M]. New York: Springer, 2003.
[11]杨威, 李俊山, 史德琴, 等. 基于改进变分水平集的红外图像分割方法[J]. 计算机工程, 2008, 34(4): 196-200.
Yang Wei, Li Junshan, Shi Deqin, et al. Infrared Image Segmentation Based on Improved Variational Level Set[J]. Computer Engineering, 2008, 34(4): 196-200.

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Level set SAR image segmentation method combined with ratio edge information

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