Journal of University of Chinese Academy of Sciences >
Fast ship detection method based on ScanSAR image
Received date: 2012-12-28
Revised date: 2013-03-28
Online published: 2013-11-15
In this paper, a fast ship detection method based on ScanSAR image is presented. Firstly, the influence of scalloping noise on ship detection is reduced by seasonal local brightness transform. Secondly, an improved two-parameter CFAR ship detection based on OpenMP before ScanSAR images mosaicking is adopted, and it not only avoids the influence of splicing apertures on ship detection but also reduces the time of ship detection greatly. At last, the final detection targets are derived from mosaicking ScanSAR images. Experimental results on 15 different ScanSAR images show that the proposed system has good detection performance and prominent timeliness.
Key words: ScanSAR image; Scalloping; splicing aperture; OpenMP; ship fast detection
LIN Xu , HONG Jun , SUN Xian , YAN Yi . Fast ship detection method based on ScanSAR image[J]. Journal of University of Chinese Academy of Sciences, 2013 , 30(6) : 793 -799 . DOI: 10.7523/j.issn.2095-6134.2013.06.012
[1] Ai J Q, Qi X Y. A new ship detection algorithm based on local k-distribution in SAR images[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2010, 27(1):36-42(in Chinese). 艾加秋,齐向阳. 一种基于局部K-分布的新的SAR图像舰船检测算法[J]. 中国科学院研究生院学报, 2010, 27(1):36-42.
[2] Zhang F L, Zhang L, Wu B F. Progress of ship detection technology and system based on remote sensing technology in European union[J]. Journal of Remote Sensing,2007, 11(4):552-562(in Chinese). 张风丽,张磊,吴炳方. 欧盟船舶遥感探测技术与系统研究的进展[J]. 遥感学报, 2007, 11(4):552-562.
[3] Liu B K, Yu W D. Comparative study on ScanSAR and TopSAR[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2011, 28(3): 360-365(in Chinese). 刘保坤,禹卫东. ScanSAR与TopSAR的对比研究[J]. 中国科学院研究生院学报, 2011, 28(3): 360-365.
[4] Luscombe A P. Using the overlap regions to improve ScanSAR calibration [C]. CeoSAR SAR Calibration Workshop. 1993: 341-346.
[5] Moreira A, Mittermayer J, Scheiber R, et al. Extended chirp scaling algorithm for air and spaceborne SAR data processing in stripmap and ScanSAR imaging modes[J]. IEEE Transaction Geoscience Remote Sensing, 1996, 34(5): 1 123-1 136.
[6] Chen Q, Wang N, Lu J, et al. A new method for ship detection in harbor region of SAR images[J]. Journal of Electronics Information Technology, 2011, 33(9): 2 132-2 137(in Chinese). 陈琪,王娜,陆军,等. SAR图像港口区域舰船检测新方法[J]. 电子与信息学报, 2011, 33(9): 2 132-2 137.
[7] Ming F, Hong J, Wu Y R. Study on scalloping radiometric error in ScanSAR[J]. Journal of Electronics Information Technology, 2006, 28(10): 1 806-1 808(in Chinese). 明峰,洪峻,吴一戎. ScanSAR的scalloping辐射误差研究[J]. 电子与信息学报, 2006, 28(10): 1 806-1 808.
[8] Yang K F, Jin H Y, Shi M H. Image enhancement based on LP fusion and brightness transform[J]. Computer Engineering, 2009, 35(15): 220-223(in Chinese). 杨凯峰,金海燕,石美红. 基于LP融合和亮度变换的图像增强[J]. 计算机工程, 2009, 35(15): 220-223.
[9] Ai J Q, Qi X Y, Yu W D. Improved two parameter CFAR ship detection algorithm in SAR images[J]. Journal of Electronics Information Technology, 2009, 31(12): 2 882-2 884(in Chinese). 艾加秋,齐向阳,禹卫东. 改进的SAR图像双参数CFAR舰船检测算法[J]. 电子与信息学报, 2009, 31(12):2 882-2 884.
[10] Chapman B J, Vander P R. Using OpenMP: portable shared memory parallel programming[M]. London: Cambridge Press, 2007: 23-24.
[11] Rabenseifner R, Hager G, Jost G. Hybrid MPI/OpenMP parallel programming on clusters of multi-core SMP nodes[J]. Parallel Distributed and Network-based Processing, 2009, 10(2): 427-436.
[12] Xu G, Sheng J L, Zhang L, et al. Performance improvement in multi-ship imaging for ScanSAR based on sparse representation[J]. Science China: Information Sciences, 2012, 55(8): 1 860-1 875.
[13] Eldhuset K. An automatic ship and ship wake detection system for spaceborne SAR image in coastal regions[J]. IEEE Transaction Geoscience and Remote Sensing, 1996, 34(4): 1 010-1 019.
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