Infrared Small Weak Targets Detection via High order Cumulant Harmonics Estimation

After analyzing the characteristics and shortage of some old algorithms about the infrared small weak target detection, aiming at the single frame image, we put forward a kind of new detection algorithm - small weak target detection via HOSA: see the gray level data of the image ground as the noise signal, and the gray level data of small weak target as the harmonic signal mixed in the noise signal, then process the gray level data of row and arrange pixel in image via power spectral analysis and high order cumulants analysis to restrain noise and detect harmonics. The distinguishability of detection depends on the number of the rows be spectrum analyzed at the same time. The advantage of the algorithm consists in adopting same examination theories, being easy to accomplish, having the higher accuracy, and the needed data is limited within the single frame image only. Finally an example based on the detection algorithm is present, proving out a better result