Robust Airborne Combat Identification using Scale-Invariant Spatial and Spectral Electro-Optic Signatures

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-06-C-0066
Agency Tracking Number: N052-111-0628
Amount: $80,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: N05-111
Solicitation Number: 2005.2
Small Business Information
Suite A, 75 Aero Camino, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andrew Brown
 (805) 968-6787
Business Contact
 Marcella Lindbery
Title: Director of Contracts and Finance
Phone: (805) 968-6787
Research Institution
Electro-optic (EO) imagery provides a rich source of information for feature-based target combat identification (CID). Yet, variable operating conditions, including sensor range, depression angle, and angle of approach, as well as target illumination and degree of occlusion, have so far prevented the development and effective deployment of a complete solution for real-time airborne CID. While much attention has been devoted to discovering target features which are invariant to orientation and affine view transformation, the resulting features have proven to be insufficiently discriminatory for large model databases. To address these and other challenges, we propose the use of scale- and affine transformation-invariant spatial and intensity features, combined with color/spectral histogram features, for robust, high-performance CID. Furthermore, we show how real-time airborne processing capability can be achieved through efficient candidate target segmentation followed by a hierarchical classification structure. This framework ensures that the most computationally demanding operations are only performed for a small number of most likely candidate target matches. Throughout, we show how storage and bandwidth requirements can be minimized, to enable deployment of the complete CID system on the F/A-18E/F and a variety of other platforms, leading to reduced operator workload and improved combat effectiveness.

* information listed above is at the time of submission.

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