摘要
为改善光电载荷测量数据中测量信号的可信度,提出了空中平台光电载荷无源定位数据预处理方法.对实际噪声进行分类并分析了各自的产生原因,根据不同种类噪声采用了数据信号分析与图像信息分析相结合的消噪方法,解决了单一方法对实际噪声消噪不理想的问题,从而为精确定位目标提供了前提与保障,保持光电载荷的定位作战效能.
In order to improve the credibility of measured signal,a data pretreatment method was put forward.The actual noises were classified and each cause of the noises was analyzed.According to the different kinds of noise,noise signal and image information analyses were used to eliminate these noises.The problem that singular methodology cannot satisfactorily de-noising actual noise was solved.It can provide prerequisite and guarantee for higher degree of accuracy of target locating and maintain the operational efficiency of the photoelectric payload.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第11期39-41,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
高等学校博士后专项科研基金资助项目(20090641460)
国防预研项目
关键词
目标定位跟踪
光电载荷
实际噪声分类
数据预处理
作战效能保持
target passive locating and tracking
photoelectric payload
actual noise classification
data pretreatment method
operational efficiency maintenance
