The Application of the High-Speed Pixel Clustering Method in Combining Multi-Angle Images Obtained from Airborne Optical-Location Systems

This paper deals with the problem of complexing images formed by the onboard equipment of a multi-position optical-location system. The problem of information aggregation is solved quite difficult in airborne optical-location systems. Therefore, in order to combine data received from high-resolution optical sensors into a single information field, the method based on the developed high-speed method of clustering image pixels is proposed. The purpose of present paper is to develop a method for combining multi-angle images, which is characterized by gradual detailing of clustered images. The result of present paper is a data aggregation technique that allows combining high-resolution multi-angle location images into a single information field with high correlation characteristics as compared to classical algorithms of combining. The practical relevance of paper involves the feasibility of applying the technique of combining digital images for modern optical monitoring systems designed for environmental exploration, forecasting and rapid prevention of natural and man-made emergencies.