Three-Dimensional Target Modeling with Synthetic Aperture Radar

Abstract

Three-Dimensional Target Modeling with Synthetic Aperture Radar John R Hupton 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 thesis 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 highresolution 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.

Applications of Artificial Neural Networks to Synthetic Aperture Radar for Feature Extraction in Noisy Environments

“…This method extracted the shadows of a target and geometrically would interpret the height of the target, using the knowlege of the platform's position relative to the target. [3] The other research conducted at cal poly is directed at the analysis of the raw return data recorded by the SAR antenna. The eventual goal of this research is to perform ATR without the need for producing an image first.…”

Target Tracking Using Various Filters in Synthetic Aperture Radar Data and Imagery

“…The approximate physical resolution per pixel is 0.3047 meters with the pixel spacing being 0.2 meters [5] .…”

“…Once this matched-filtering is done, the frequency domain version of the reconstructed target function is: [5] [13] ˘?˫ { ˫ { ˫ { ˫ {C ˟{ ˫ { ј { { ˪˫ I -˪˫ I (1.1)…”

“…The ˫ { ˫ { and ˫ { ˫ { shown in this equation are simple domain transformation functions to place the target function in the x-y Cartesian plane [5] [13] .…”

“…Figure 45 describes what each of the variables and parameters in the above equations are [5] [13] . These are the set of parameters that are known by nature of the platform and imaging situation, or are measured at sample time.…”