Improving the Target Auto Identification in SAR Images Using Corrective PSO Algorithm

In the SAR image processing, with the use of computers, it is important to choose the algorithm with regard to the type of data. The previously used algorithms in this field, lacked acceptable recognition and had inappropriate speed. The main purpose of this paper is to present an appropriate algorithm to recognize the targets in SAR images which is used by aircrafts, planes, and satellites that observe the target on the ground. It is tried to choose an algorithm that is more adaptive to the distribution of local optima and the proportion of the public data. With regard to the distribution of data, PSO algorithm is relatively suitable considering the point that the most important shortcoming of PSO is to get stuck at local optimum. Accordingly, to remove this shortage GAPSO algorithm is presented in this paper. The results show that the suggested method enjoys more speed and accuracy in comparison with the other suggested methods.