Synthetic Aperture Radar (SAR) point scatterers are exploited in SAR imaging to detect known locations and objects, and to estimate and identify their speci
fic parameters. The absolute, relative, and differential location accuracy provides the basis for the performance of these functions. Absolute localization can
x the location of an image. Relative localization can estimate object dimensions for identification. And the (time) differential can identify sublimation (sinking) or vibration. Major variations in point scatterers stem from di¤erences in imaging techniques and the geometric (ight) imaging scenario. This paper looks at the gamut of imaging scenarios and the accuracy of parameters estimated from them. The basic location of a point scatterer in an image depends both on the image resolution fi
xed by the imaging scenario parameters and the sharpness of the point scatterer (impulse response or point spread function). In some cases sub-pixel resolution accuracy is achievable via low-rank image scatterer localization algorithms. Achievable accuracy of both of these is bounded by the imaging scenario and the uniformity of this accuracy across an image which is governed by the imaging technique. Performance varies with waveform parameters, chirp rate, image size, and imaging range. Additionally, performance varies with the different sampling rates that can be used to attain the same image resolution. The performance of scatterer localization techniques across imaging scenarios and example uses of point scatterer localization are presented.
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