摘要
为了解决基于空间滤波效应的航空遥感清晰度检测窗口构型选择问题,从数学角度对典型空间滤波器模型进行了构建,分析了正弦和矩形透射函数,以及矩形、圆形和高斯加权类典型空间滤波器构型的功率谱密度函数与滤波特性,论述了不同窗口形式的滤波器对于航空遥感清晰度检测精度的影响。设计了验证实验,利用面阵CCD探测器成像特点,通过软件程序模拟运动图像的光振幅相对于目标速度被周期性调制的过程及空间滤波器的周期透射比,从而代替光栅等物理的空间滤波器。针对矩形类窗口、圆形窗口以及高斯加权窗口等常用的空间滤波器构型进行了地面成像自动清晰度检测实验,实验结果表明,采用三种滤波器构型的清晰度检测结果一致,性能没有明显差异,可选择最容易实现且运算量最小的矩形类空间滤波器。
The method of automatic clarity detection for aerial remote sensing based on the spatial-filtering velocimetry can effectively solve the problem of inability to focus on static targets during aerial camera flights.This method can flexibly select the type of transmission function and filter window configuration,and dynamically adjust the filter parameters.To address the issue of selecting the configuration of a window for detecting the clarity of aerial remote sensing based on spatial-filtering velocimetry,this study constructs typical spatial filter models from a mathematical perspective and analyzes the sinusoidal and rectangular transmission functions.Sinusoidal and rectangular transmission functions have similar low-pass filtering characteristics,but the rectangular transmission function contains high-frequency components in addition to the fundamental peak.For clarity detection,ground targets satisfy a random process,and the highfrequency components they contain are beneficial for improving detection accuracy.Therefore,theoretically,the use of a rectangular-type filter is more conducive to detection accuracy,and the parameters of the rectangular transmission function are easier to design,with a smaller computational load,making it more suitable for automatic clarity detection.The study analyzes the power spectral density functions and filtering characteristics of typical spatial filter configurations,including rectangular,circular,and Gaussian-weighted filters,and discusses the impact of different window forms of filters on the accuracy of aerial remote sensing clarity detection.From the perspective of window configuration,rectangular and circular spatial filters contain low-frequency components that are unfavorable for clarity detection,as well as high-frequency components that are beneficial for the detection results.The Gaussian-weighted spatial filter does not contain these low-frequency components,but the low-frequency components can be filtered out using a differential method,and the energy of the high-
作者
王昊
王晓丽
李杰
姜涛
王新博
WANG Hao;WANG Xiaoli;LI Jie;JIANG Tao;WANG Xinbo(Electronics Information Engineering College,Changchun University,Changchun 130022,China;Integrated Smart Energy Management Department,Jilin Jidian New Energy Co.,Ltd.,Changchun 130119,China)
出处
《光子学报》
EI
CAS
CSCD
北大核心
2024年第10期225-234,共10页
Acta Photonica Sinica
基金
长春大学博士科研启动经费(No.ZKQD202315)。
关键词
空间滤波效应
清晰度检测
透射函数
航空遥感相机
Spatial-filtering velocimetry
Sharpness detection
Transmittance function
Aerial remote camera
