We have developed an adaptable background suppression algorithm, based on the statistical technique of principal components, to mitigate the effects of sensor line of sight motion (clutter) across structured background scenes. The central idea is construction of a "background space" as a linear vector subspace modeling the background being viewed. We have applied our algorithm to two test cases which were constructed by simulating random motion of a staring array focal plane over a high resolution scene. The first test case, with clutter noise only, found a low-intensity signal (S/N=0.05) with a 245-fold enhancement by projecting out a background space using 40 principal components. The second test case added Gaussian electronic noise and found the signal with a 34-fold increase in signal-to-noise using 16 principal components. This is believed to closely represent the actual problem encountered in staring array focal planes. Our results show that increasing the number of principal components increases the algorithm's ability to suppress clutter up to the point where electronic noise becomes dominant. We give a heuristic argument for determining the proper number of principal components for maximum signal-to-noise enhancement.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Principal component background suppression


    Contributors:
    Kirk, J.A. (author) / Donofrio, M. (author)


    Publication date :

    1996-01-01


    Size :

    1099817 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Principle Component Background Suppression

    Kirk, J. A. / Donofrio, M. / IEEE; Aerospace and Electronics Systems Society | British Library Conference Proceedings | 1996


    Incremental Principal Component Pursuit for Video Background Modeling

    Rodriguez, P. | British Library Online Contents | 2016


    Dynamic background clutter suppression

    PETERSON SCOTT M | European Patent Office | 2021

    Free access

    Dynamic Background Clutter Suppression

    PETERSON SCOTT M | European Patent Office | 2021

    Free access

    Euler Principal Component Analysis

    Liwicki, S. / Tzimiropoulos, G. / Zafeiriou, S. et al. | British Library Online Contents | 2013