The fast and robust detection of far targets is one of the key techniques in infrared searching and tracking applications. Using multiorder directional derivatives, an effective and concise detection method performed on a single IR image is proposed in this article. First, multiorder directional derivatives of an image are derived from the facet model. According to the derivative characteristics of small targets, enhancement filters are designed to maximize the target components. Convolved with these filters, the small targets are enhanced and the backgrounds are suppressed in each derivative subband. The final result is obtained by fusing all these filtered derivative subbands. The experimental results demonstrate that the proposed method consistently achieves a robust and effective performance on all datasets. In addition, the low computational complexity makes the proposed method suitable for real time detection purpose.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fast Detection of Distant, Infrared Targets in a Single Image Using Multiorder Directional Derivatives


    Contributors:
    Bi, Yanguang (author) / Chen, Junzhang (author) / Sun, Heng (author) / Bai, Xiangzhi (author)


    Publication date :

    2020-06-01


    Size :

    8754570 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Concept of Multiorder Multimode Resonant Optical Filters

    Liu, Z. S. / Magnusson, R. / Optical Society of America | British Library Conference Proceedings | 2002




    ALD-Assisted Multiorder Dispersion Engineering of Nanophotonic Strip Waveguides

    Erdmanis, M. / Karvonen, L. / Saleem, M.R. et al. | British Library Online Contents | 2012