太赫兹科学与电子信息学报, 2017, 15 (4): 558, 网络出版: 2017-12-08  

基于分块相位梯度算法的多舰船尾迹自动识别

Automatic recognition of multiple ship wakes in SAR image based on PGA
作者单位
复旦大学 电磁波信息科学教育部重点实验室, 上海 200433
引用该论文

孙玉鑫, 丁娟娟, 刘鹏. 基于分块相位梯度算法的多舰船尾迹自动识别[J]. 太赫兹科学与电子信息学报, 2017, 15(4): 558.

SUN Yuxin, DING Juanjuan, LIU Peng. Automatic recognition of multiple ship wakes in SAR image based on PGA[J]. Journal of terahertz science and electronic information technology, 2017, 15(4): 558.

参考文献

[1] COPELANG A C,RAVICHANDRAN G,TRIVEDI M M. Localized Radon transform-based detection of ship wakes in SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1995,33(1):35-45.

[2] 王世庆,金亚秋. SAR图像船行尾迹检测的Radon变换和形态学图像处理技术[J]. 遥感学报, 2001,4(4):289-294. (WANG Shiqing,JIN Yaqiu. Ship wake detection in SAR images based on Radon transformation and morphologic image processing [J]. Journal of Remote Sensing, 2001,4(4):289-294.)

[3] 种劲松,朱敏慧. 基于归一化灰度Hough变换的SAR图像舰船尾迹检测算法[J]. 中国图形图像学报, 2004,9(2): 146-150. (CHONG Jingsong,ZHU Minhui. Ship wake detection algorithm in SAR image based on normalized grey level Hough transform[J]. Journal of Image and Graphics, 2004,9(2):146-150.)

[4] 王连亮,陈怀新. 基于递归修正Hough变换域的舰船多尾迹检测方法[J]. 系统工程与电子技术, 2009,31(4):834-837. (WANG Lianliang,CHEN Huaixin. Multi-ship detection method based on recursive modified Hough transform field[J]. Systems Engineering and Electronics, 2009,31(4):834-837.)

[5] WACKERMAN C C,FRIEDMAN K S,PICHEL W G. Automatic detection of ships in RADARSAT-1 SAR imagery[J]. Canadian Journal of Remote Sensing, 2001,27(23):568-577.

[6] 罗强,罗莉,任庆利. 一种基于小波变换的卫星SAR海洋图像舰船目标检测方法[J]. 兵工学报, 2002,23(23):500-503. (LUO Qiang,LUO Li,REN Qingli. Method of ship detection in oceanic SAR image based on wavelet transform[J]. Acta Armamentarii, 2002,23(23):500-503.)

[7] 牛朝阳,马德宝,李武皋. 基于联合PWF-2pCFAR算法的Envisat/ASAR双极化数据舰船检测方法研究[J]. 信息工程大学学报, 2008,9(3):319-322. (NIU Chaoyang,MA Debao,LI Wugao. Ship detection based on the combined PWF-2pCFAR algorithm using envisat/ASAR dual polarization data[J]. Journal of Information Engineering University, 2008,9(3):319-322.)

[8] 张东晓,何四华,杨绍清. 一种多尺度分形的舰船目标检测方法[J]. 激光与红外, 2009,39(3):315-318. (ZHANG Dongxiao, HE Sihua,YANG Shaoqing. Ship target detection method based on multi-scale fractal feature[J]. Laser and Infrared, 2009, 39(3):315-318.)

[9] AI Jiaqiu,QI Xiangyang,YU Weidong,et al. A novel ship wake CFAR detection algorithm based on SCR enhancement and normalized Hough transform[J]. IEEE Geoscience and Remote Sensing Letters, 2011,8(4):681-685.

[10] 张宏稷,杨健. 基于非邻域结构似然函数的舰船检测方法[J]. 太赫兹科学与电子信息学报, 2013,11(6):875-879. (ZHANG Hongji,YANG Jian. Non-local structure and likelihood function based ship detection[J]. Journal of Terahertz Science and Electronic Information Technology, 2013,11(6):875-879.)

[11] DENG Yuan,ZHANG Yunhua. Improved PGA algorithm based on adaptive range bins selection[J]. Journal of Language Teaching and Research, 2010,1(2):151-156.

[12] FARAJZADEH M,MAHMOODI A,ARVAN M R. Detection of small target based on morphological filters[C]// 20th Iranian Conference on Electrical Engineering. Tehran,Irana:IEEE, 2012:1097-1101.

[13] OTSU N. A threshold selection method from gray level histograms[J]. IEEE Transactions on Systems Man and Cybernetics IEEE Transactions, 1979,9(1):62-69.

[14] ZILMAN G,ZAPOLSKI A,MAROM M. On detectability of a ship's Kelvin wake in simulated SAR images of rough sea surface[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015,53(2):609-619.

[15] 倪崇,王岩飞,徐向辉. 一种改进的SAR图像聚焦算法[J]. 测绘学报, 2012,41(3):449-453. (NI Chong,WANG Yanfei, XU Xianghui. An improved autofocus algorithm for SAR images[J]. Acta Geodaetica Sinica, 2012,41(3):449-453.)

[16] QING Jiming,XU Haoyu,LIANG Xingdong,et al. An improved phase gradient autofocus algorithm used in real-time processing[J]. Journal of Radars, 2015,4(5):600-607.

孙玉鑫, 丁娟娟, 刘鹏. 基于分块相位梯度算法的多舰船尾迹自动识别[J]. 太赫兹科学与电子信息学报, 2017, 15(4): 558. SUN Yuxin, DING Juanjuan, LIU Peng. Automatic recognition of multiple ship wakes in SAR image based on PGA[J]. Journal of terahertz science and electronic information technology, 2017, 15(4): 558.

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