A new approach, SRR, for small infrared target detection in single image is described herein. SRR is based on local self-similarity descriptor, according to the characteristics of small infrared targets. Using the SRR, the certainty of small targets can be easily measured. Compared to some conventional cutter removal methods, extensive experimental results show that the proposed approach outperforms these methods. Additionally, the proposed approach has a simple structure, which is convenient for implementation. Plans for future research include incorporating efficiently temporal information to further improve detection performance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Small infrared target detection using sparse ring representation


    Contributors:
    Chenqiang Gao, (author) / Tianqi Zhang, (author) / Qiang Li, (author)


    Publication date :

    2012-03-01


    Size :

    8595890 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Infrared Small Target Detection Using PPCA

    Cao, Y. / Liu, R. M. / Yang, J. | British Library Online Contents | 2008



    Multi-View Automatic Target Recognition using Joint Sparse Representation

    Haichao Zhang, / Nasrabadi, N. M. / Zhang, Y. et al. | IEEE | 2012