Accession Number : ADA557072


Title :   Computer Aided Multi-Data Fusion Dismount Modeling


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT


Personal Author(s) : Morales, Juan L


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a557072.pdf


Report Date : 22 Mar 2012


Pagination or Media Count : 82


Abstract : Recent research efforts strive to address the growing need for dismount surveillance, dismount tracking and characterization. Current work in this area utilizes hyperspectral and multispectral imaging systems to exploit spectral properties in order to detect areas of exposed skin and clothing characteristics. Because of the large bandwidth and high resolution, hyperspectral imaging systems pose great ability to characterize and detect dismounts. A multi-data dismount modeling system where the development and manipulation of dismount models is a necessity. This thesis demonstrates a computer aided multi-data fused dismount model, which facilitates studies of dismount detection, characterization and identification. The system is created by fusing: pixel mapping, signature attachment, and pixel mixing algorithms. The developed multi-data dismount model produces simulated hyperspectral images that closely represent an image collected by a hyperspectral imager. The dismount model can be modified to fit the researcher?s needs. The multi-data model structure allows the employment of a database of signatures acquired from several sources. The model is flexible enough to allow further exploitation, enhancement and manipulation. The multi-data dismount model developed in this effort fulfills the need for a dismount modeling tool in a hyperspectral imaging environment.


Descriptors :   *DATA FUSION , *HYPERSPECTRAL IMAGERY , AIR FORCE RESEARCH , ALGORITHMS , BROADBAND , COMPUTER AIDED DESIGN , HIGH RESOLUTION , MULTISPECTRAL , OPTIMIZATION , SURVEILLANCE , THESES , TRACKING


Subject Categories : Information Science
      Atomic and Molecular Physics and Spectroscopy


Distribution Statement : APPROVED FOR PUBLIC RELEASE