公开(公告)号：US20230419640A1

公开(公告)日：2023-12-28

申请号：US17827096

申请日：2022-05-27

Applicant: Raytheon Company

Inventor： Suhail Shabbir Saquib ,  Christopher M. Pilcher ,  John R. Goulding

IPC: G06V10/764 ,  G06V20/17 ,  G06V10/22

CPC classification number: G06V10/764 ,  G06V20/17 ,  G06V10/235

Abstract: Devices, systems, and methods for machine learning (ML) automatic target recognition (ATR) decision explanation are provided. A method can include receiving an object specification matrix from an object model database that indicates, for each of a plurality of physical portions of an object, whether each of a plurality of features are present or absent in a physical portion of the physical portions of the object and a proportional physical displacement between the features in the object, receiving feature data indicating for an image of a portion of the object, a likelihood whether each of features are present in the image, determining based on the object specification matrix and the feature data, a probability and corresponding uncertainty that the image corresponds to the object, and providing the probability and corresponding uncertainty of the object to help classify the object.