ALEXANDRIA, Va., March 17 -- United States Patent no. 12,578,459, issued on March 17, was assigned to NORTHROP GRUMMAN SYSTEMS Corp. (Falls Church, Va.).
"Object detection from synthetic aperture radar using a complex-valued convolutional neural network" was invented by Joseph Mouawad (La Mesa, Calif.) and David Riley Elliott (Melbourne, Fla.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided for object detection. A radar interface receives complex-valued data representing a region of interest from a synthetic aperture radar system. A complex-valued convolutional neural network includes a plurality of convolutional layers and provides an output indicating if objects are present i...