Software tools of a wavelet/fractal correlation method for detecting space debris objects
The problem of space exploration efforts depends on orbiters, which in turn require their safety precautions from the effects of space debris. Each satellite, space probe or manned mission might be a potential source of space debris. The paper presents a method of detecting various objects of space debris. Images of cosmic space from an optoelectronic device placed on a spacecraft are transformed into halftone images. They are further processed by wavelet transforms. The next stage includes binarization and filling operations for the obtained results. At the end of this stage, there is a formation of the minimum rectangular areas covering the supposed objects of space debris. As a result, these areas have formed statistics in the form of the maximum eigenvalues of autocorrelation matrices and fractal dimensions for making a decision on detection space debris according to the Neyman-Pearson criterion. The obtained results show that space debris objects can be successfully detected.