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一种结合空间信息的星载SAR图像舰船目标检测算法
引用本文:樊庆聚,蔡正谊,冷祥光,武院生,计科峰. 一种结合空间信息的星载SAR图像舰船目标检测算法[J]. 太赫兹科学与电子信息学报, 2017, 15(6): 972-977
作者姓名:樊庆聚  蔡正谊  冷祥光  武院生  计科峰
作者单位:College of Electronic Science and Engineering,National University of Defense Technology,Changsha Hunan 410073,China,China Academy of Launch Vehicle Technology R &D Center,Beijing 100076,China,College of Electronic Science and Engineering,National University of Defense Technology,Changsha Hunan 410073,China,The Armed Police Crops of Yunnan Diqing City Team,Diqing Yunnan 674400,China and College of Electronic Science and Engineering,National University of Defense Technology,Changsha Hunan 410073,China
摘    要:针对常规恒虚警率(CFAR)方法对低信杂比合成孔径雷达(SAR)图像舰船目标检测效果不佳的问题,提出一种结合空间信息的星载SAR图像舰船目标检测方法。该方法通过将像素的空间信息与灰度信息相结合构造联合图像,以提高目标与背景的对比度,然后对联合图像进行CFAR检测。基于不同分辨力实测星载SAR图像舰船目标检测的实验结果表明,与直接基于CFAR的方法相比,该方法对低信杂比SAR图像具有更好的检测性能。

关 键 词:合成孔径雷达;舰船检测;空间信息;恒虚警率
收稿时间:2016-05-27
修稿时间:2016-06-15

A ship detection method from spaceborne SAR imagery combined with spatial information
FAN Qingju,CAI Zhengyi,LENG Xiangguang,WU Yuansheng and JI Kefeng. A ship detection method from spaceborne SAR imagery combined with spatial information[J]. Journal of Terahertz Science and Electronic Information Technology, 2017, 15(6): 972-977
Authors:FAN Qingju  CAI Zhengyi  LENG Xiangguang  WU Yuansheng  JI Kefeng
Abstract:A ship detection method from spaceborne Synthetic Aperture Radar(SAR) imagery combined with spatial information is proposed. It combines the spatial and gray information to construct a combined image to enhance the contrast, followed by a Constant False Alarm Rate(CFAR) detection. Experimental results based on various real data demonstrate that compared to the conventional CFAR, the proposed method performs well in low SCR images in different resolutions.
Keywords:
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