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Proceedings Paper

Characterizing point spread signals for subsurface synthetic imaging
Author(s): Domingo Rodriguez
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Paper Abstract

This work concentrates on the analysis of radar signature signals for the characterization and efficient computational of finite discrete 2D point spread functions. A general simple model for ground penetrating raw data image formation is assumed in order to concentrate on the efficient computation of point spread functions. The point spread functions are used as impulse response functions for the simulation of high resolution image of 2D synthetic aperture imaging kernels. A methodology has been developed to serve as a tool aid in the analysis, design, and efficient implementation of 1D and 2D fast Fourier transform (FFT) algorithms prevalent in SAR image formation operations with the idea in mind of reducing the computational effort and improving the hardware implementation process. Kronecker products algebra, a branch of finite dimensional multilinear algebra, has been demonstrated to be a useful tool aid in the development of fast algorithms for unitary transformations and in the identification of similarities and differences among FFT computational frameworks.

Paper Details

Date Published: 6 July 2000
PDF: 8 pages
Proc. SPIE 4129, Subsurface Sensing Technologies and Applications II, (6 July 2000); doi: 10.1117/12.390642
Show Author Affiliations
Domingo Rodriguez, Univ. of Puerto Rico/Mayaguez (United States)

Published in SPIE Proceedings Vol. 4129:
Subsurface Sensing Technologies and Applications II
Cam Nguyen, Editor(s)

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