Abstract:

Dimensionality reduction and feature extracting are important preprocessing steps in pattern recognition. Since the images of an aircraft target are much different from each other in the various conditions of the geographic transformations (such as rotation, translation, affine transform, etc) and the influence of different observed angle, locality and illumination in the real scene, many classical dimensional reduction and feature extracting methods are not effective to recognize the aircraft target by aircraft images. The discriminant locality preserving projection (DLPP) algorithm is an effective supervised dimensional reduction algorithm. The DLPP algorithm outperforms the LPP method, because it constructs the subspace by maximizing the betweenclass distance and minimizing the withinclass distance. In this paper, based on DLPP, an aircraft target recognition method was proposed. The recognition results show that the proposed method is very effective and feasible.

Key words: aircraft object recognition;discriminant locality preserving projection;dimension reduction