Calculation of optimal parameters for aircraft recognition on remote sensing imagery by contour analysis

Abstract

In this paper, we describe the experimental results of aircraft recognition on optical remote sensing imagery using the theory of contour analysis. We propose the new technique to calculate optimal values of the contour’s items quantity and the classification threshold through measuring within- and between-class distances for all possible training set instances combinations with the following detecting and minimizing the type I and II errors. We discuss the construction of contours’ similarity measures combining the principles of finding the most appropriate reference instance and calculating the average value for the whole class. It is shown that the proposed parameters' calculation technique and the similarity function provides training on compact non-uniform datasets and the further of an aircrafts' recognition on images of lower spatial resolution.