Accession Number:

ADA516723

Title:

Random Shape and Reflectance Representations for 3D Assisted/Automated Target Recognition (ATR)

Descriptive Note:

Final rept. 5 Mar 2007-5 Sep 2009

Corporate Author:

VIRGINIA UNIV CHARLOTTESVILLE

Personal Author(s):

• Horowitz, B. M.
• Beling, P. A.
• Reyes, I. O.
• Devore, M. D.

Report Date:

2010-02-01

Pagination or Media Count:

24.0

Abstract:

This document is the final report for research on ATR Center RASER Grant FA8650-07-1-1113. The objective of this project was to expand the capabilities of model-based assistedautomated target recognition ATR systems by explicitly accommodating variation in shape and reflectance across elements of a broad target class. Work is set in the context of three-dimensional point-cloud data sets, such as LADAR or other structured light methods, and builds off a data representation model that represents measurement uncertainty probabilistically. Under this data model, the likelihood that a particular target gave rise to an observed point cloud can be computed using a collection of numerical integrations over the surface of a model of a target. Selection of the target with the largest likelihood then yields the classification result with the minimum probability of error MPE that can be achieved using a given sample of observed points. Our focus is on the study of anytime ATR algorithms, which are structured to support classification result queries that are placed at unknown, arbitrary times. A naive anytime algorithm based on the MPE decision rule can be defined in terms of round-robin calculations of likelihoods for observed points.

Descriptors:

• *ALGORITHMS
• *NUMERICAL INTEGRATION
• *TARGET RECOGNITION
• *MAXIMUM LIKELIHOOD ESTIMATION
• *OPTICAL RADAR
• *REFLECTANCE
• CLASSIFICATION
• DECISION THEORY
• LASER BEAMS
• UNCERTAINTY
• MATHEMATICAL MODELS
• CLOUDS
• THREE DIMENSIONAL
• STATISTICAL SAMPLES
• MEASUREMENT

Subject Categories:

• Optical Detection and Detectors
• Target Direction, Range and Position Finding
• Electricity and Magnetism

Distribution Statement:

APPROVED FOR PUBLIC RELEASE