Outline Structural Representation for Radar Target Classification Based on Non-Radar Templates

Author

Vespe, M. ; Baker, Chris J. ; Griffiths, Hugh D.

Author_Institution

Dept. of Electron. & Electr. Eng., Univ. Coll. London

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

Automatic target recognition (ATR) is often based on statistical methodologies rather than using symbolic information relationships and properties. In this paper, a possible approach for the syntactic outline representation for radar target classification based on non-radar templates is presented, describing the outline extraction and tine detection algorithms to define a code-book of structures representing the target radar shape. The outline target recognition is attempted from a multi-perspective point of view: only the illuminated side of the target is preserved and then combined with other partial shapes collected from different nodes of a hypothetical radar network

Keywords

feature extraction; image classification; image representation; radar detection; radar imaging; radar target recognition; statistical analysis; ATR; automatic target recognition; nonradar templates; radar target classification; statistical methodology; tine detection algorithms; Electromagnetic scattering; Frequency; Image resolution; Laser radar; Optical scattering; Radar cross section; Radar imaging; Radar scattering; Shape; Target recognition; ISAR imaging; edit distance; outline detection; structural classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343539

Filename

4148220