2D parametric target model estimation using HRR data from a radar network

Author

Fasoula, A. ; Driessen, Hans ; van Genderen, Piet

Author_Institution

Surface Radar, THALES Nederland BV, Delft, Netherlands

fYear

2009

fDate

12-16 Oct. 2009

Firstpage

1

Lastpage

6

Abstract

Estimation of a parametric 2D spatial target model is proposed in this paper, with ultimate goal to support radar target classification. Limited number of multi-aspect High Range Resolution (HRR) data from a radar network are used as source of information. Back-projection in 2D space and mixture model fitting is applied for the estimation. The ghosts are progressively resolved and unambiguous retrieval of the 2D target model is achievable using data at consecutive time steps, while the target is moving.

Keywords

image classification; parameter estimation; radar target recognition; 2D parametric target model estimation; HRR data; back projection; multiaspect high range resolution data; radar network; radar target classification; Data mining; Information resources; Information retrieval; Libraries; Parametric statistics; Radar imaging; Radar measurements; Radar scattering; Space technology; Spatial resolution; 2D target model; high resolution; incoherent radar network; mixture model fitting; target classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference - Surveillance for a Safer World, 2009. RADAR. International

Conference_Location

Bordeaux

Print_ISBN

978-2-912328-55-7

Type

conf

Filename

5438463