Authors

I.I. ZYKOV

Abstract

This article discusses a method for detecting space debris objects. The input data for the operation of the algorithm are images of outer space obtained from an optical-electronic device (OEP) located on a spacecraft. Primary detection is performed using wavelet transforms. Further, for the obtained results, binarization and hole filling operations are carried out sequentially. The next step is the formation of areas of arbitrary shape, which are required to lead to the minimum rectangular dimensions covering the proposed objects of space debris. The construction of these areas allows for each of them to generate statistics in the form of maximum eigenvalues ​​of autocorrelation matrices and fractal dimensions to decide on the detection of a space debris object by the Neumann – Pearson criterion. The results obtained show that space debris objects can be successfully detected and coordinates in space can be calculated for them.

Keywords

space debris, wavelet transforms, fractal dimension, autocorrelation matrix, Neumann Pearson criterion, algorithm, optoelectronic systems.