Morphology Feature Rapid Selection for Asteroid Landing

XIU Wenbo1,2, HE Ying3, ZHU Shengying1,2, LIU Yanjie4

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Journal of Deep Space Exploration ›› 2024, Vol. 11 ›› Issue (3) : 286-294. DOI: 10.15982/j.issn.2096-9287.2024.20240036
Special Issue:Intelligent Landing on Small Celestial Bodies

Morphology Feature Rapid Selection for Asteroid Landing

  • XIU Wenbo1,2, HE Ying3, ZHU Shengying1,2, LIU Yanjie4
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Abstract

Given the complex and numerous morphological features during asteroid landing,which lead to challenges such as huge number of feature combinations,high computational load in online feature selection and low computational efficiency,in this paper an online multi-type feature rapid selection method was proposed. Using rapid selection criteria for multi-type features combined with search region,a method for selecting single-frame image features was established. Additionally,considering the short sampling interval,high inter-frame image overlap,and high feature inheritance probability during asteroid landing,a method for inter-frame image feature inheritance selection was proposed. Simulation experiments show that the design of single-frame image search regions and inter-frame image feature inheritance methods substantially reduces the number of feature combinations,thereby greatly enhancing the efficiency of computational and online feature selection.

Keywords

asteroid landing / multi-type feature / rapid feature selection / morphology feature / visual navigation

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XIU Wenbo, HE Ying, ZHU Shengying, LIU Yanjie. Morphology Feature Rapid Selection for Asteroid Landing. Journal of Deep Space Exploration, 2024, 11(3): 286‒294 https://doi.org/10.15982/j.issn.2096-9287.2024.20240036

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