Image Feature Extraction for Improved EW Classification

Period of Performance: 06/27/2011 - 04/27/2012

$80K

Phase 1 STTR

Recipient Firm

Scientific Systems Company, Inc.
500 West Cummings Park Array
Woburn, MA 01801
Principal Investigator
Firm POC

Research Institution

Georgia Institute of Technology
225 North Ave NW
Atlanta, GA 30332
Institution POC

Abstract

The proliferation of radar and communication devices significantly increases operators workload. Different platforms carrying similar communication devices further complicate the problem. The onboard imaging sensors, combining with EW sensors, have the ability to disambiguate devices and platforms. Our proposed system consists of three main modules: (1) the data/time synchronization and sharing module, (2) the image processing and feature extraction module, and (3) the Bayesian data fusion/classification module. Our proposed system integrates the tracking function with region of interest segmentation and feature extraction. We propose the use of prior probabilities assigned to feature elements to handle the problem of data synchronization, feature quality and object occlusion in a unified manner. We fuse the prior class probability distribution estimated from previous instances of the same targets with the new classifier output to establish the posterior class probability distribution in a Bayesian framework. The project team consists of Scientific Systems Company, Inc. (SSCI) as the prime contractor and Georgia Institute of Technology as the academic partner.