Accession Number : ADA332595

Title :   Integrated Color CCD and LADAR Based Object Modeling and Recognition: A Coregistration Approach to Multisensor Target Recognition with Extensions to Exploit Digital Elevation Map Data

Descriptive Note : Final progress rept. 1 Sep 93-31 Jul 97,

Corporate Author : COLORADO STATE UNIV FORT COLLINS DEPT OF COMPUTER SCIENCE

Personal Author(s) : Beveridge, J. R. ; Draper, Bruce A. ; Stevens, Mark R. ; Hanson, Allen ; Siejko, Kris

PDF Url : ADA332595

Report Date : 08 SEP 1997

Pagination or Media Count : 37

Abstract : A target recognition capability is described that performs: color target detection, target type and pose hypothesis generation, and target type verification by 3-D alignment of target models to range and electro-optical imagery. The term coregistration' is introduced to describe target, range and electro-optical (color and IR) sensor alignment correction. Online model feature prediction using 3-D military vehicle models is demonstrated for 3-D vehicle models. All phases of the recognition cycle are shown on near-boresight- aligned electro-optical and range imagery collected at Fort Carson, Colorado. As a step toward integrating constraints from Digital Elevation Maps (DEM), an automated terrain feature prediction and matching capability is demonstrated. This terrain matching is used to refine DEM to ground-looking imagery registration.

Descriptors :   *DETECTORS, *TARGET RECOGNITION, *TARGET DETECTION, OPTICAL RADAR, INTEGRATED SYSTEMS, AUTOMATION, VERIFICATION, PREDICTIONS, MODELS, TERRAIN, LASER BEAMS, CYCLES, ALIGNMENT, COLORS, HYPOTHESES, ONLINE SYSTEMS, ELEVATION, MATCHING, DIGITAL MAPS, ELECTROOPTICAL PHOTOGRAPHY.

Subject Categories : Electrical and Electronic Equipment
      Target Direction, Range and Position Finding

Distribution Statement : APPROVED FOR PUBLIC RELEASE