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)

Report Date:

1998-09-01

Pagination or Media Count:

163.0

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 SARISAR 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.

Subject Categories:

  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE