US 11,727,665 B2
Unmanned aircraft system (UAS) detection and assessment via temporal intensity aliasing
Bryana Lynn Woo, Belen, NM (US); Gabriel Carlisle Birch, Albuquerque, NM (US); Jaclynn Javonna Stubbs, Albuquerque, NM (US); and Camron G. Kouhestani, Albuquerque, NM (US)
Assigned to National Technology & Engineering Solutions of Sandia, LLC, Albuquerque, NM (US)
Filed by National Technology & Engineering Solutions of Sandia, LLC, Albuquerque, NM (US)
Filed on Mar. 12, 2021, as Appl. No. 17/200,488.
Application 17/200,488 is a division of application No. 16/141,385, filed on Sep. 25, 2018, granted, now 10,977,772.
Prior Publication US 2022/0020110 A1, Jan. 20, 2022
Int. Cl. G06T 3/40 (2006.01); G06T 3/00 (2006.01); G06V 10/42 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)
CPC G06V 10/431 (2022.01) [G06T 3/00 (2013.01); G06T 3/40 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)] 14 Claims
OG exemplary drawing
 
1. A method for temporal frequency analysis for identification of unmanned aircraft systems comprising:
obtaining a sequence of video image frames and providing a pixel value from an output frame of the video;
generating a fluctuating pixel value vector;
examining the fluctuating pixel value vector over a period of time;
summing a plurality of frequency coefficients associated with the corresponding vectorized pixel values from the fluctuating pixel value vector to obtain summed center frequency coefficients;
obtaining frequency information present in the pixel fluctuations;
obtaining an image representing a two-dimensional space based on the summed center frequency coefficients;
generating a series of still frames equal to a summation of the center frequency coefficients for pixel variations; and
combining the summation of the center frequency coefficients for pixel variations into spatial locations in a matrix to provide a single image containing the spatial and temporal information present in the sequence of video image frame.