Unmanned aircraft system (UAS) detection and assessment via temporal intensity aliasing
| DWPI Title: Method for temporal frequency analysis for identification of unmanned aircraft systems, involves combining temporal information into spatial locations in matrix to provide single image containing spatial and temporal information |
| Abstract: A method and system for temporal frequency analysis for identification of unmanned aircraft systems. The method includes obtaining a sequence of video image frames and providing a pixel from an output frame of the video; generating a fluctuating pixel value vector; examining the fluctuating pixel value vector over a period of time; obtaining the frequency information present in the pixel fluctuations; summing the frequency coefficients for the vectorized pixel values from the fluctuating pixel value vector; 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 temporal information 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. |
| Use: Method for temporal frequency analysis for identification of unmanned aircraft system (UAS) such as flying vehicle or aircraft that functions without pilot on-board aircraft. |
| Advantage: The method provides more pixels that can be viewed, thus allowing the objects to be viewed and classified at greater distances. The temporal frequency analysis method provides improved classification through support vector machine algorithms, increased training data, and alternative coefficients. The method allows the creation of a UAS-specific signature to enable lower nuisance alarm rates and autonomous UAS detection. |
| Novelty: The method involves obtaining (102) a sequence of video image frames and providing a pixel value from an output frame of the video. A fluctuating pixel value vector is generated and examined over a period of time. A set of frequency coefficients associated with the corresponding vectorized pixel values is summed from the fluctuating value vector. Temporal information present in the pixel fluctuations is obtained. An image representing a two-dimensional space is obtained based on the summed center frequency coefficients. A series of still frames equal to a summation of the coefficients is generated for pixel variations. |
| Filed: 3/12/2021 |
| Application Number: US17200488A |
| Tech ID: SD 14134.1 |
| This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
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