Disclosed in the present invention is a target recognition method for an airborne navigation
image based on
harmony search of spatial entropy, comprising: using position distribution information of an image
grayscale space to calculate a distribution entropy value of the image
grayscale space, mapping the distribution entropy value into a uniform
distribution function, and by means of linear transformation
processing including 2D-DCT, transformation domain coefficient weighting, and inverse 2D-DCT, simultaneously enhancing global and local contrast of an original image. By incorporating the
harmony search algorithm of the maximum entropy, although the
algorithm is similar to the
genetic algorithm, a multi-point
crossover mode is used in the process of searching for a new solution in the field, so that the new solution is more diversified, and the probability of escaping from a local optimal solution is increased.