Accession Number : ADA355484


Title :   Advanced Pattern Recognition Techniques (Techniques avancees de reconnaissance de forme)


Descriptive Note : Lecture series


Corporate Author : NORTH ATLANTIC TREATY ORGANIZATION BRUSSELS (BELGIUM)


Personal Author(s) : Walton, Eric K ; Baum, Carl E ; Habil, Ing H ; Zwamborn, Peter M ; Nitsch, J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a355484.pdf


Report Date : Sep 1998


Pagination or Media Count : 163


Abstract : Pattern recognition is the extraction of consistent information from noisy spatiotemporal data. It can be and is currently being used in systems for battlefield supervision, smart weapons, and anti-counterfeiting of all kinds. A current application is the automatic detection of land mines and unexploded ordance (UXO). The methods employed can be subdivided in the following manner: (1) statistical methods, (2) neuro-methods, (3) fuzzy-methods, and (4) neuro-fuzzy methods. Each of these methods has its special advantages and drawbacks, but all of them require the computation of feature variables from measurement or simulation data, e.g., from microwave backscattering. The Lecture Series covers the following topics: (1) Introductory Overview on Pattern Recognition Techniques, (1)-(4); (2) Feature Extraction for Pattern Recognition by; (a) Electromagnetic, magnetic, and acoustic singularity identification; (b) Model based scattering signatures; (c) Wavelet techniques; (d) SAR/ISAR imaging; (e) Bistatic microwave imaging; and (f) Electromagnetic inversion techniques. (1) Real-time Implementation of Pattern Recognition Methods; and (2) Introduction to Software and Hardware for Pattern Recognition. This Lecture Series, sponsored by the Sensors and Electronics Technology Panel (SET) of RTO, has been implemented by the Consultant and Exchange Programme.


Descriptors :   *MINE DETECTION , *PATTERN RECOGNITION , COMPUTER PROGRAMS , NATO , SIMULATION , ELECTRONICS , METHODOLOGY , SCATTERING , COMPUTATIONS , BATTLEFIELDS , MICROWAVES , BACKSCATTERING , CONSISTENCY , VARIABLES , IDENTIFICATION , ELECTROMAGNETIC RADIATION , IMAGES , INFORMATION RETRIEVAL , SIGNATURES , EXTRACTION , ACOUSTICS , INVERSION , STATISTICAL PROCESSES , AUTOMATIC , RECONNAISSANCE , LAND MINES , SUPERVISION , BISTATIC RADAR , LECTURES , UNEXPLODED AMMUNITION , FEATURE EXTRACTION


Subject Categories : Target Direction, Range and Position Finding


Distribution Statement : APPROVED FOR PUBLIC RELEASE