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基于改进CGHT的光学遥感图像舰船尾迹检测
引用本文:赵春晖,栾世杰.基于改进CGHT的光学遥感图像舰船尾迹检测[J].沈阳大学学报,2014(5):362-368.
作者姓名:赵春晖  栾世杰
作者单位:哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001
基金项目:国家自然科学基金资助项目(61405041); 黑龙江省自然科学基金重点资助项目(ZD201216)
摘    要:根据遥感图像舰船目标检测的实时性要求,提出了一种应用改进CGHT算法检测舰船尾迹的方法.通过加入舰船船体的检测结果,改进CGHT算法中种子点的选取方式,以改善尾迹检测的计算复杂度,并将检测重点侧重于舰船船体附近区域,避免尾迹检测的盲目性.实验表明,该算法显著减少了尾迹检测的运行时间,降低了伪尾迹引起的虚警,提高了尾迹定位的准确性.

关 键 词:光学遥感图像  舰船尾迹检测  Hough变换  CGHT

Ship Wake Detection in Optical Remote Sensing Image Based on Modified CGHT
Zhao Chunhui,Luan Shijie.Ship Wake Detection in Optical Remote Sensing Image Based on Modified CGHT[J].Journal of Shenyang University,2014(5):362-368.
Authors:Zhao Chunhui  Luan Shijie
Institution:(College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract:According to the actual needs of real-time ship target detection in optical remote sensing images,this paper proposes a novel approach using modified CGHT to detect ship wake target is proposed.Ship target detection results are added to wake detection in this algorithm.Pattern of selecting seed points in CGHT is modified to decrease computational complexity,emphasize regions encircle the ship targets and avoid the blindness in wake detection.The experiments show that the algorithm reduces run time of wake detection observably,decreases false alarms rate caused by fake wake targets and improves accuracy of ship wake location.
Keywords:optical remote sensing image  ship wake detection  Hough transform  CGHT
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