Dim-small-targets detection based on higher-order cumulant and wavelet method

A novel two-dimensional (2-D) adaptive filtering algorithm to enhance 2-D signals of small spatial extent embedded in white Gaussian noise and a variety of outstanding modern digital signal processing methods are combined in background segmentation. The coefficients of the adaptive filter converge to a special 2-D slice of the fourth-order cumulant function of the input signal. The proposed algorithm is called the 2-D cumulant adaptive enhancer (2DCAE). And the methods in background segmentation is combining the wavelet energy transformation, data integration and threshold segmentation.