The authors propose that hidden models (HMMs) and multiaperture synthe
tic aperture radar (MASAR) imaging can be used to construct automatic
target detection algorithms. Their preliminary studies show that HMM M
ASAR detection: effectively exploits anisotropic scattering difference
s between target and multiple clutter classes is computationally effic
ient; call be used with either single polarisation or multipolarisatio
n SAR imagery; and can be used with either coherent or noncoherent sub
apertures. Further, the results indicate that the accuracy of HMM MASA
R detection is comparable to other techniques while requiring orders o
f magnitude less computation. These results suggest that the HMM MASAR
detection technique could be effectively deployed in fielded automati
c target recognition systems.