Abstract
Abstract. The study addresses the problem of space debris motion determination using a nanosatellite with video equipment that allows making stereo images. An original algorithm to determine a spatial orientation of the space debris is proposed. The algorithm is based on a pair of simultaneous stereo images and uses random samples of triangulated points to match the sequentially conducted stereo images. The Monte Carlo method is used to estimate the probability of the proposed algorithm effectiveness. The study offers the results of solving the model problem of a nanosatellite approach to the space debris and proposes recommendations on adjusting an algorithm and choosing the measurement program.
Highlights
Nowadays excessive space debris poses a real threat to the access to outer space a problem of cleaning space from these fragments, especially large-format ones, is urgent
The motion parameters are found by processing a sequence of stereo images, which is performed in two stages
This study presents a solution to the problem of the space debris motion determination using a nanosatellite with video equipment that allows making stereo images
Summary
Nowadays excessive space debris poses a real threat to the access to outer space a problem of cleaning space from these fragments, especially large-format ones, is urgent Such missions imply a spacecraft-inspector approach to the space debris, which consists of uncooperative objects. A preliminary study of the fragment motion parameters is required to maneuver the space debris In this case, both methods of optical image processing with the use of a single optical camera (Mansour et al, 2019) and methods of stereo photogrammetry are the most promising ones as they involve obtaining object characteristics by processing stereo images from a pair of cameras. The major disadvantages of these methods are their computational complexity and impossibility to link two measurements conducted at sequential moments of time At this moment, there is an increasing interest in studying possibilities of using CubeSat nanosatellites in similar missions. The algorithm is based on the principles of triangulation and uses a pair of sequentially conducted simultaneous stereo images to determine a spatial orientation
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