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基于灰度累积的遥感图像舰船尾迹检测
引用本文:李红康,王建国.基于灰度累积的遥感图像舰船尾迹检测[J].兵工自动化,2007,26(9):66-67.
作者姓名:李红康  王建国
作者单位:电子科技大学,四川,成都,610054;中国西南电子技术研究所,四川,成都,610036;电子科技大学,四川,成都,610054
摘    要:基于灰度累积的遥感图像舰船尾迹检测,先用双参数CFAR检测舰船目标,再在其周围运用直接灰度累积法进行航迹检测.其步骤包括双参数CFAR检测、统计舰船重心、尾迹检测预处理及设定阈值曲线.最后运用多项式拟合方法对灰度累积曲线进行分析,结果表明该方法可行.

关 键 词:舰船检测  双参数CFAR  尾迹检测  灰度累积法
文章编号:1006-1576(2007)09-0066-02
收稿时间:2007-05-29
修稿时间:2007-08-07

Ship and Ship Wake Detection of Remote Sensing Image Based on Grey Degree Accumulation
LI Hong-kang,WANG Jian-guo.Ship and Ship Wake Detection of Remote Sensing Image Based on Grey Degree Accumulation[J].Ordnance Industry Automation,2007,26(9):66-67.
Authors:LI Hong-kang  WANG Jian-guo
Abstract:Ship and Ship Wake Detection of Remote Sensing Image Based on Grey Degree Accumulation, the double-parameter CFAR is used to identify the ship. After that, direct grey degree accumulation technique is applied to detect wakes around the ship. And in this process, double-parameter CFAR, accumulation of the gravity center of the ship, pre-disposal for wake detection and determination of threshold curve are applied. Then polynomial approximation is used to analyze the accumulation data. The result shows that this method is good.
Keywords:Ship detection  Double-parameter CFAR  Wake detection  Grey degree accumulation
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