Recognizing occluded objects in SAR images

Author

Bhanu, Bir

Volume

37

Issue

1

fYear

2001

fDate

1/1/2001 12:00:00 AM

Firstpage

316

Lastpage

328

Abstract

Recognizing occluded vehicle targets in synthetic aperture radar (SAR) images is addressed. Recognition algorithms, based on local features, are presented that successfully recognize highly occluded objects in both XPATCH synthetic SAR signatures and real SAR images of actual vehicles from the MSTAR data. Extensive experimental results are presented for a basic recognition algorithm, using SAR scattering center relative locations as features with the XPATCH data and for an improved algorithm, using scatterer locations and magnitudes with the real SAR targets in the MSTAR data. The results show the effect of occlusion on recognition performance in terms of probability of correct identification, receiver operating characteristic curves, and confusion matrices

Keywords

object recognition; radar computing; radar imaging; radar target recognition; synthetic aperture radar; MSTAR data; SAR images; XPATCH synthetic SAR signatures; confusion matrices; decision rule; local features; occluded objects recognition; occluded vehicle targets; performance analysis; positional noise; probability of correct identification; real images; receiver operating characteristic curves; recognition algorithms; scattering center relative locations; Adaptive arrays; Australia; Image recognition; Radar scattering; Radar signal processing; Signal processing algorithms; Surveillance; Synthetic aperture radar; Target recognition; Vehicles;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.913694

Filename

913694