Recognizing occluded objects in SAR images

作者: G. Jones , B. Bhanu

DOI: 10.1109/7.913694

关键词: Low probability of intercept radarComputer visionRadar lock-onRadar engineering detailsScatteringSide looking airborne radarRadar imagingContinuous-wave radarBistatic radarComputer scienceSynthetic aperture radarArtificial intelligenceInverse synthetic aperture radarAutomatic target recognition

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

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