Human brain is one of the most complex systems in the world, and the interaction between different regions has constituted brain network. To aid scientific research, scholars build brain functional networks with variety of methods. In this paper, brain functional networks were estimated by using AAL (Anatomical Automatic Labeling) template and Canonical Correlation, and some topology properties such as small-world property, global efficiency, local efficiency, etc. were studied. The result indicates some characteristics present significantly statistical difference between normal population and abnormal psychological sailors. The prominent conclusion demonstrates the proposed way of building functional networks is feasible.