Flight navigation system is necessary and important device of micro aerial vehicle.In cities

buildings or in strong electromagnetic interference environment

a lot of novel ideas are studied for navigation.One of the better technologies is image navigation.According to the accuracy and real-time performance requirements for the navigation system of micro aerial vehicle

two algorithms of correlation matching and local entropy difference are studied.In order to shorten computing time and make easy for hardware realization

some techniques

such as stratified searching technique are used.And the two algorithms are also improved properly.The experiment results show that "correlation matching algorithm" is more efficient.