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7 September 2010Three-dimensional target modeling with synthetic aperture radar
Conventional Synthetic Aperture Radar (SAR) offers high-resolution imaging of a target region in the range and
cross-range dimensions along the ground plane. Little or no data is available in the range-altitude dimension,
however, and target functions and models are limited to two-dimensional images. This paper first investigates some
existing methods for the computation of target reflectivity data in the deficient elevation domain, and a new method is
then proposed for three-dimensional (3-D) SAR target feature extraction.
Simulations are implemented to test the decoupled least-squares technique for high-resolution spectral estimation of
target reflectivity, and the accuracy of the technique is assessed. The technique is shown to be sufficiently accurate at
resolving targets in the third axis, but is limited in practicality due to restrictive requirements on the input data.
An attempt is then made to overcome some of the practical limitations inherent in the current 3-D SAR methods by
proposing a new technique based on the direct extraction of 3-D target features from arbitrary SAR image inputs. The
radar shadow present in SAR images of MSTAR vehicle targets is extracted and used in conjunction with the radar
beam depression angle to compute physical target heights along the range axis. Multiple inputs of elevation data are
then merged to forge rough 3-D target models.
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John R. Hupton, John A. Saghri, "Three-dimensional target modeling with synthetic aperture radar," Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980P (7 September 2010); https://doi.org/10.1117/12.861425