摘要
低信杂比条件下的红外点目标检测提取一直是热点研究问题。有效抑制背景、增强目标是决定检测性能的关键。文章提出一种天基红外点目标图像的背景抑制方法,利用目标与背景的空域变化差异特性,针对性设计滤波算法,并通过图像曲线曲率融合估计进行背景抑制,有效区分目标与背景。仿真分析结果表明:局部信杂比增益可提升5倍以上,能有效抑制背景杂波。
The detection and extraction of an infrared target under the condition of low signal-to-noise ratio has always been a hot research topic.Effective suppression of the background and enhancement of the target are key points that determine the detection performance.In this paper,a method is proposed in order to suppress the background for a space-based infrared point target image.Spatial differences between the target and background are utilized to design a filter algorithm,which is combined with image curvature fusion estimation to perform background suppression and distinguish the target and background effectively.The simulation analysis shows that the local signal-to-background ratio gain can be increased by above 5 times,which demonstrates the proposed method can suppress background clutter effectively.
作者
丁翔
张超
史嘉伟
刘晓磊
高宏霞
潘忠石
王虎妹
王世涛
DING Xiang;ZHANG Chao;SHI Jiawei;LIU Xiaolei;GAO Hongxia;PAN Zhongshi;WANG Humei;WANG Shitao(Beijing Institute of Tracking and Telecommunications Technology,Beijing 100094,China;Beijing Institute of Remote Sensing Information,Beijing 100192,China;Institute of Remote Sensing Satellite,China Academy of Space Technology,Beijing 100094,China)
出处
《航天器工程》
CSCD
北大核心
2022年第4期84-90,共7页
Spacecraft Engineering
基金
国家自然科学基金青年基金(61505250)。
关键词
天基红外点目标
曲率滤波
红外图像
背景抑制
space-based infrared point target
curvature filter
infrared image
background suppression
