Method for Extraction of Object Contour of near Space SAR Image Based on Level Set Algorithm

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Abstract:

Its a research hotspot recently to conduct image analysis and target detection using the object image acquired by the Synthetic Aperture Radar (SAR) in military survey, military mapping and ocean monitoring. To be able to quickly and accurately extract the object contour of SAR image real sequence captured by the aircraft in the low dynamic near space, the level set method is introduced in this article based on separating object from background by Difference Image Method. Then, the level set method is improved with the change of object image time sequence to accelerate contour extraction. The simulation experiment proves this method is efficient.

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3581-3585

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xie Yin. 2010. Research on SAR System and Imaging Based on Near Space". Master, s thesis in Beijing University of Posts and Communications.

Google Scholar

[2] Li Zhaorui. 2011. A Research on Maritime Target Detection Method of Airborne SAR Image,. Master dissertation.

Google Scholar

[3] Song Jianshe, Zhen Yong'an, Yuan Lihai. 2008. Understanding and Applications of Synthetic Aperture Radar Images,. Beijing: Science Press.

Google Scholar

[4] He Zhiguo. 2008. Research on SAR Image Segmentation Arithmetic Based on Active Contour Model". PhD, s thesis for National University of Defense Technology.

Google Scholar

[5] Michael Kass, Andrew Witkin, Demetri Terzopoulos. Snake: Active Contour Models[C] In Proceedings of First International Conference on Computer Vision. London, 1987, 259—269.

Google Scholar

[6] He Zhiguo, Zhou Xiaoguang, Lu Jun, Kuang Gangyao. A geometric active contour model for SAR image segm entation,. Journal of Remote Sensing. (2009).

Google Scholar

[7] Ji Ling. 2011. A Research of SAR Image Edge Detection Based on Level Set Algorithm, University of electronic science and technology of china. Master dissertation.

Google Scholar

[8] Li Jinhui, Zhao Jiantao. An Image Processing Algorithm for Automobile Style Recognition". Journal of Xi, an Technological University. (2009).

Google Scholar

[9] Li C M, Xu C Y, Gui C F, et al. Level Set Evolution Without Re-initialization: A New Variational Formulation,. Computer Vision and Pattern Recognition. 2005: 1, 430~436.

DOI: 10.1109/cvpr.2005.213

Google Scholar

[10] Wang Hongxi. 2008 . Image Segmentation Based On Improved GAC Model,. Northwest University. Master dissertation.

Google Scholar