摘要
为提取舰船弱目标全局化红外图像,设计复杂海面的舰船弱目标红外图像提取方法。利用待提取特征参量,实现对目标信息的时间与空间性校准,完成复杂海面环境中的舰船弱目标信息预处理。确定弱目标的独立分量与红外图像的子空间范围,联合提取最大似然值,完成舰船弱目标红外图像提取。实验结果表明,与星载SAR目标提取手段相比,应用新型红外图像提取方法后,AIS规划量极值达到7.26,有效解决复杂航行环境下舰船弱目标图像全局化提取能力较弱的问题。
In order to extract the global infrared image of the ship’s weak target,a method of extracting the infrared image of the ship’s weak target on complex sea surface is designed.By using the feature parameters to be extracted,the target information can be calibrated in time and space,and the weak target information can be preprocessed in complex sea environment.The independent component of the weak target and the subspace range of the infrared image are determined,and the maximum likelihood value is extracted jointly to complete the infrared image extraction of the weak target of the ship.The experimental results show that,compared with the target extraction method of spaceborne SAR,the maximum value of AIS planning amount reaches 7.26 after using the new infrared image extraction method,which effectively solves the problem of weak global extraction ability of ship weak target image in complex navigation environment.
作者
万萌
冯新玲
WAN Meng;FENG Xin-ling(School of Information Engineering,Zhengzhou University of Industrial Technology,Zhengzhou 451100,China)
出处
《舰船科学技术》
北大核心
2020年第18期76-78,共3页
Ship Science and Technology
关键词
舰船弱目标
图像提取
时间校准
独立分量
图像子空间
Ship weak target
image extraction
time calibration
independent component
image subspace
