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Detection of Infrared Dim and Small Target Based on Two-dimensional Normal Cloud Model Algorithm
Pages: 646-649
Year: Issue:  10
Journal: Infrared Technology

Keyword:  two-dimensional normal cloudmodel algorithminfrared imagedim and small target detection;
Abstract: 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.
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