Recognizing occluded vehicle targets in synthetic aperture radar (SAR) imag
es is addressed. Recognition algorithms, based on local features, are prese
nted that successfully recognize highly occluded objects in both XPATCH syn
thetic 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.