Accession Number : ADA325094

Title :   Multisensor Fusion using FLIR and LADAR Identification.

Descriptive Note : Final rept. 29 Sep 93-31 Dec 97,

Corporate Author : NICHOLS RESEARCH CORP ORLANDO FL

Personal Author(s) : Akerman, Alexander, III. ; Patton, Ronald ; Dalashmit, Walter ; Hummel, Robert

PDF Url : ADA325094

Report Date : 31 MAR 1997

Pagination or Media Count : 48

Abstract : The primary objective of this project was to provide the Surrogate Semiautonomous Vehicle (SSV) with a Demonstration II capability of performing automatic target recognition/identification (ATR/I). Detected objects of interest would be imaged with FLIR and/or LADAR sensors so the ATR/I algorithms must be compatible with either sensor, as well as exploit the synergy of processing both sensors simultaneously. Our approach does not rely upon the precise coregistration of multiple sensors, but rather performs geometric hashing on the individual FLIR and LADAR images. Hashing represents an object by a collection of points, which are then matched to similarly constructed models. The matching is accomplished by iteratively selecting pairs of points, placing them in a Euclidean geometry coordinate system, concurrently translating and rotating all other object points to the same geometry, and then counting the number of occurrences of object and model points in the same cell. The geometric hashing software, originally developed for 2D SAR and FLIR imagery has been extended to also accommodate 3D Ladar range and intensity imagery. The 2D hashing software was modified to allow up to ten dimensions. Currently, a 4D scheme is being used which represents (x,y) position, range, and intensity features.

Descriptors :   *FORWARD LOOKING INFRARED SYSTEMS, *TARGET RECOGNITION, *DATA FUSION, *MULTISENSORS, OPTICAL RADAR, SYNTHETIC APERTURE RADAR, LASER BEAMS, IDENTIFICATION, INFRARED IMAGES, INFRARED DETECTORS, AUTOMATIC.

Subject Categories : Target Direction, Range and Position Finding
      Infrared Detection and Detectors

Distribution Statement : APPROVED FOR PUBLIC RELEASE