Raytheon Company

Carlton E Nance

Jody Dale Verret

Paul Christian Hershey

Mu-Cheng Wang

John J Coogan

Stephen J Raif

Steven B Seida

Steve Davidson

Christopher J Graham

Wyatt D Sharp, Iii

Leslie A Ledda

Christopher L Kuhn

Paul L Pryor

A system and method of generating point clouds from passive images. Image clusters are formed, wherein each image cluster includes two or more passive images selected from a set of passive images. Quality of the point cloud that could be generated from each image cluster is predicted for each image cluster based on a performance prediction score for each image cluster. A subset of image clusters is selected for further processing based on their performance prediction scores. A mission-specific quality score is determined for each point cloud generated and the point cloud with the highest quality score is selected for storage.

Performance prediction for generation of point clouds from passive imagery

The technology described herein includes a system and/or a method for policy-based data management. The method includes receiving, by a sensor platform device, sensor data from one or more sensors; selecting, by the sensor platform device, one or more screening policies from a plurality of screening policies based on one or more mission parameters and a platform type associated with the sensor platform device; generating, by the sensor platform device, a data set from the sensor data based on the selected one or more screening policies; and transmitting, by the sensor platform device, the data set to one or more computing devices.

Policy based data management and imaging chipping

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Rockwall, TX, United States of America

Carlton E Nance