Bridge detection in polarimetric SAR images based on water area tracing

doi:10.16511/j.cnki.qhdxxb.2017.25.057

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Abstract Bridges interfere with automatic segmentation and linking of waterways crossed by bridges. This paper describes an automatic bridge detection method using polarimetric synthetic aperture radar (SAR) based on tracing of known water areas. The water areas are first accurately extracted using a level set segmentation algorithm from polarimetric SAR images. All the water branches related to the bridge are then linked by the scanning and the tracing of the water areas. The feature points on the water branch contours are extracted to identify the bridge end points. The bridge bodies are then developed from the end points. The algorithm was tested using polarimetric SAR images from RADARSAT-2 over Singapore and Lingshui, China. The results show that the detection rate of this algorithm is very high. Even small bridges in large scenes are correctly identified by the algorithm.

Keywords synthetic aperture radar bridge detection water area tracing

ZTFLH:

TN957.52

Issue Date: 15 December 2017

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	LIU Chun
	YANG Jian
	XU Feng
	FAN Yida

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LIU Chun,YANG Jian,XU Feng, et al. Bridge detection in polarimetric SAR images based on water area tracing[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(12): 1303-1309.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.25.057 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I12/1303

[1]	戴光照, 张荣. 高分辨率SAR图像中的桥梁识别方法研究[J]. 遥感学报, 2007, 11(2):177-184.DAI Guangzhao, ZHANG Rong. A study of bridge recognition in high resolution SAR images[J]. Journal of Remote Sensing, 2007, 11(2):177-184. (in Chinese)
[2]	Chen Y, Chen J, Yang J. Novel method for SAR image segmentation with application to bridge detection[C]//IEEE International Conference on Signal Processing. Beijing, China:IEEE, 2006.
[3]	Song W Y, Rho S H, Kwag Y K. Automatic bridge detection scheme using CFAR detector in SAR images[C]//IEEE International Asia-Pacific Conference on Synthetic Aperture Radar. Seoul, South Korea:IEEE, 2011:1-4.
[4]	张军, 高贵, 李国辉. 基于Parzen窗函数的SAR图像人造目标检测算法[J]. 华中科技大学学报(自然科学版), 2008, 36(8):24-27. ZHANG Jun, GAO Gui, LI Guohui. Parzen-window function-based algorithm for detecting man-made target in SAR images[J]. J Huazhong Univ (Sci and Tech), 2008, 36(8):24-27. (in Chinese)
[5]	王运锋, 汤志伟, 王建国. SAR图像中桥梁的识别方法研究[J]. 系统工程与电子技术, 2001, 23(6):76-78.WANG Yunfeng, TANG Zhiwei, WANG Jianguo. The study of identifying method about bridge on SAR image[J]. Systems Engineering and Electronics, 2001, 23(6):76-78. (in Chinese)
[6]	安成锦, 王卫华, 辛玉林, 等. 中低分辨率SAR图像桥梁识别方法研究[J]. 雷达科学与技术, 2010, 8(6):510-515.AN Chengjin, WANG Weihua, XlN Yulin, et al. Recognition of bridge in medium-low resolution SAR image[J]. Radar Science and Technology, 2010, 8(6):510-515. (in Chinese)
[7]	于大洋, 周露, 杨健, 等. 基于极化合成孔径雷达数据的桥梁检测[J]. 清华大学学报(自然科学版), 2005, 45(7):888-891.YU Dayang, ZHOU Lu, YANG Jian, et al. Highway bridge detection based on polarimetric SAR data[J]. J Tsinghua Univ (Sci and Tech), 2005, 45(7):888-891. (in Chinese)
[8]	Ben Ayed I, Mitiche A, Belhadj Z. Multiregion level-set partitioning of synthetic aperture radar images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(5):793-800.
[9]	Ben Ayed I, Mitiche A, Belhadj Z. Polarimetric image segmentation via maximum-likelihood approximation and efficient multiphase level-sets[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(9):1493-1500.
[10]	Liu C, Yang J, Yin J J, et al. Coastline detection in SAR images using a hierarchical level set segmentation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(11):4908-4920.
[11]	刘春, 殷君君, 杨健. 基于岸线特征点合并的极化SAR图像小型港口检测[J]. 清华大学学报(自然科学版), 2015, 55(8):849-853.LIU Chun, YIN Junjun, YANG jian. Small harbor detection in polarimetric SAR images based on coastline feature point merging[J]. J Tsinghua Univ (Sci and Tech), 2015, 55(8):849-853. (in Chinese)
[12]	Sonka M, Hlavac V, Boyle R. Image Processing, Analysis, and Machine Vision[M]. Toronto:Cengage Learning, 2014.
[13]	Douglas D H, Peucker T K. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature[J]. Cartographica:The International Journal for Geographic Information and Geovisualization, 1973, 10(2):112-122.

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