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Model-Based 3D LADAR ATR Development and Evaluation

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F33615-02-C-1148
Agency Tracking Number: 011SN-0601
Amount: $746,550.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
50 Mall Road
Burlington, MA 01803
United States
DUNS: 094841665
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Gil Ettinger
 Division Manager
 (781) 273-3388
 gil.ettinger@alphatech.com
Business Contact
 Andrew Mullin
Title: Gen Counsel & Director of
Phone: (781) 273-3388
Email: andy.mullin@alphatech.com
Research Institution
N/A
Abstract

"We propose to characterize performance levels of a model-based 3D LADAR ATR system in order to understand the applicability of LADAR sensors to target exploitation in complex scenes. The MSTAR program has successfully demonstrated the applicability ofmodel-based recognition to 2D SAR processing of targets in a range of operating conditions (OCs). We will extend that approach to 3D LADAR exploitation. 3D LADAR, by virtue of generating high resolution 3D geometric reconstructions of a scene, is anatural application for shape-oriented model-based reasoning. Our technical approach to 3D LADAR ATR consists of supporting single to multiple LADAR looks and is based on uncertainty modeling and hierarchical part-based surface alignment methods. The 3Drecognition approach is well-suited for recognizing partially-occluded variably-configured targets in cluttered environments and is therefore an excellent candidate for ATR evaluation under OCs. Our ATR evaluation methodology will also leverage theexperience and tools developed under the MSTAR program, decomposing performance measures along the sensor, target, and environment operating dimensions. Our team is composed of the developers of MSTAR's model-based reasoning modules and the evaluators ofthe MSTAR system and is well-positioned to extend our SAR experience to LADAR performance characterization."

* Information listed above is at the time of submission. *

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