Target recognition using a set of scale, rotation and translation invariant features extracted directly from the radar echoes

S. Barbarossa, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this work we propose a method for classifying targets extracting a feature vector directly from the received signal without passing through the target radar image. The method assumes that the target is a rigid body and possesses at least four dominant scatterers. Besides these assumptions, no restrictions are imposed on the kind of relative motion between radar and target. The classification is performed in two main steps: feature extraction and template matching. Simulation results show application examples and performance of the proposed approach.

Original languageEnglish (US)
Title of host publicationIEE Conference Publication
Editors Anon
PublisherIEE
Pages751-755
Number of pages5
Edition449
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 Radar Edinburgh International Conference - Edinburgh, UK
Duration: Oct 14 1997Oct 16 1997

Other

OtherProceedings of the 1997 Radar Edinburgh International Conference
CityEdinburgh, UK
Period10/14/9710/16/97

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Barbarossa, S., & Scaglione, A. (1997). Target recognition using a set of scale, rotation and translation invariant features extracted directly from the radar echoes. In Anon (Ed.), IEE Conference Publication (449 ed., pp. 751-755). IEE.