基于二维正态云模型算法的红外图像弱小目标检测

摘要

Aiming at the characteristics of infrared small target detection, two-dimensional normal cloud model algorithms are used. Firstly, two-dimensional normal cloud is established with model function of one-dimensional cloud, composed of two independent one-dimensional cloud model function. The distribution of the target pixel is a point cloud droplets and the pixel distribution of the cloud formed in a region reflects the characteristics of the target image. Then normal cloud model is produced by a function generator objective based on determination condition function. Finally the cloud of the objective function is constructed underdetection error function . The simulation results show this algorithm is best for detection of dim and small target in infrared image, with high detection rate, low false rate, and less time.%针对红外图像弱小目标检测的特点，采用二维正态云模型算法。首先利用一维云的特性建立二维云模型，由两个相互独立的一维云模型函数组成，目标像素的分布点为一个云滴，整个像素分布区域形成的云团反映了图像中目标的特性；接着依据目标判别条件函数来通过函数发生器产生正态云模型；最后在红外图像弱小目标检测误差函数下构造各云层的目标函数。实验仿真显示本文算法对红外图像弱小目标检测效果最好，能检测率高，虚警率低，耗时少。