Algorithm for Detecting an Unmanned Aerial Vehicle on a Heterogene Background

Abstract

The object of research is an optical-electronic system for detecting aircraft. The subject of the research is methods for selecting a moving object on a complex inhomogeneous background. The purpose of this work is to develop an algorithm for detecting an unmanned aerial vehicle by an optoelectronic system on a non-uniform background in real time. The presented studies were performed using video image processing methods. A noise-resistant method for selecting an unmanned aerial vehicle against a complex dynamic background is proposed. The algorithm is based on calculating the coordinates of the center of the object area by finding the Gaussian adaptive threshold of the background image. The proposed method can be used in the development of an optical-electronic system for detecting a moving unmanned aerial vehicle against a non-uniform background in real time in the infrared range. As a result, it was found that the proposed algorithm confidently copes with the detection of a contrasting object located at a distance of up to 2 km from the detection system.