Comparison between two nonlinear sea-aero target detection methods

It is very significant to detect sea-aero targets from optic-electro images for military applications. In our previous work, two practical nonlinear artificial object detection approaches have been presented, which are cellular automata-based method and fractal image coding-based method. In this paper, we do some comparison of the two methods, and analyze their merits and defects. Experiment results show that cellular automata-based method is more stable and accurate than fractal image coding-based method, but the latter has stronger noise resisting ability and is faster than the former. Our work will be of benefit to the developing of novel artificial target detecting methods.