摘要
以高超音速动态条件下传感器成像的退化模型为基础,提出了一种利用低速航拍图像模拟高超音速动态条件下红外图像方法.该方法首先对低速航拍图像进行帧内、帧间重采样,然后在图像中加入大气衰减、运动模糊、气动光学效应等退化因素,然后合成高超音速动态条件下的目标图像.所生成的图像已用于目标识别算法的研究.
Based on the degraded model of sensor imaging under the high-ultrasonic and dynamic condition,a new approach on simulating high-ultrasonic dynamic infrared image using low-speed aerial image is proposed.Firstly, the low-speed aerial images in and between frames are re-sampled.Then some degraded factors,such as atmospheric attenuation,movement blurring,aero-optical effect and so on,are added.Finally,the target images that can reflect the high-ultrasonic and dynamic conditions are generated.Above generated images have already been used to study target recognition algorithms.
出处
《红外与激光工程》
EI
CSCD
北大核心
2006年第z1期301-305,共5页
Infrared and Laser Engineering
关键词
气动光学效应
点扩展函数
傅里叶变换
运动模糊
Aero-optical effect
PSF (Point spread function)
Fourier transform
Movement blurring
