The work presented here is part of the SAPRI project - System for Acquisition, Processing and Recognition of Images - which is being developed for the Brazilian Naval Force. This project aims the treatment of radar images, supplying the specification of an environment, which can provide safety sailing and traffic control. This system involves areas like Neural Networks, Image Processing and Pattern Recognition. This paper presents some preliminary results achieved by using an evolutionary approach to optimize MLP network architectures for the target recognition task, using different learning algorithms.