Bae Systems Information and Electronic Systems Integration Inc.

Jeffrey A Wallace

Benjamin P Wood

Michael R Sweeney

Jacob Branchaud

Marc J Fredette

Christopher T Marinis

The system and method described herein utilizes spectral data, spatial data, and temporal data, simultaneously, to provide an improved clutter suppression technique to provide an improved output for feeding into an object detection protocol. This clutter suppression technique that uses spectral data, spatial data, and temporal data, simultaneously, results in improved processing capabilities by reducing the amount of processing power needed to obtain the resultant output. The present disclosure utilizes particular protocols and processes to effectuate the usage and processing of spectral data, spatial data, and temporal data, simultaneously.

System and method for clutter suppression

A passive sensor is used in conjunction with a trained machine learning classifier to make a You Are The One/You Are Not The One (YATO/YANTO) classification or determination as to whether an object, such as a threat, is moving toward a platform. The trained machine learning classifier utilizes a feature vector generated from conditioned temporal data and angular data obtained from passive sensor carried by the platform.

System and method for YATO/YANTO classification

A platform with an auto-router takes into account non-navigation data, such as IR image sensor data or other non-navigation data to develop a route for a platform. The non-navigation data may be obtained from existing non-navigation sensors carried by the platform. The non-navigation data is fed to an auto-router that takes into account the non-navigation data to generate or dynamically alter a route for the platform.

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Nashua, NH, United States of America

Jeffrey A Wallace