automatic identification target in the sar using corrective pso algorithm

the main purpose in this paper, to express strong algorithmic optimization in their ability to detect expression target of sar that use in aircraft, plane and satellites to observe the target on the ground. for this purpose,the sar technology and its applications are introduced. previous algorithms used in this field with poor diagnosis and appropriate speed is low, like means and fuzzy and pso algorithms. also, due to the lack of algorithms combines the former, require the use of modern methods and some combination. in this paper tried to choose a new evolutionary algorithm with distribution into local optima and proportion of the public data, that the pso algorithm is most appropriate. the biggest problem in particle swarm algorithm getting stuck at a local optimum must incorporate it into combinatorial also fix the problem that eventually got gapso algorithm.