This paper presents a novel star identification algorithm for a “lost-in-space” mode star tracker. The Spearman-correlation approach provides reliable recognition even when the captured images are swayed and biased from the onboard star pattern database. The hamming distance approach provides a shortlisted list of star IDs. Thus, the proposed combination of hamming distance and Spearman correlation provides a reliable and fast recognition. The achievable performance is evaluated by testing on simulated and real images.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Hamming Distance and Spearman Correlation Based Star Identification Algorithm


    Contributors:


    Publication date :

    2019-02-01


    Size :

    2229926 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Improved star map identification algorithm based on Hausdorff distance

    Wei, Q. / Guangjun, W. / Jiancheng, F. | British Library Online Contents | 2006



    Short-term traffic flow prediction method based on Spearman-LSTM model

    ZANG JINGFENG / JIA QINGYANG / LIU SHUANGLIN et al. | European Patent Office | 2024

    Free access


    Analysing the concrete compressive strength using Pearson and Spearman

    Thirumalai, Chandrasegar / Chandhini, Swapna Anupriya / Vaishnavi, M | IEEE | 2017