Share Email Print

Proceedings Paper

Comparison of interpolation methods for ISAR imaging
Author(s): Ricardo A. Vargas; Benjamin C. Flores
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The purpose of this article is to describe and compare different numerical methods to reconstruct focused ISAR imagery via interpolation in either range-Doppler or frequency domains. Parameters such as amplitude deviation, image entropy, as well as computational efficiency are used to contrast the different approaches presented. It is shown that conventional linear and cubic interpolation techniques are less accurate than other weighted integration techniques, including the unified Fourier reconstruction algorithm which uses an Airy pattern as the interpolating kernel. The appearance of artifacts in linear and cubic interpolation methods is illustrated and discussed. A point target model of a navy drone is used to compare the effectiveness of each method.

Paper Details

Date Published: 24 September 1997
PDF: 12 pages
Proc. SPIE 3161, Radar Processing, Technology, and Applications II, (24 September 1997); doi: 10.1117/12.283954
Show Author Affiliations
Ricardo A. Vargas, Univ. of Texas/El Paso (United States)
Benjamin C. Flores, Univ. of Texas/El Paso (United States)

Published in SPIE Proceedings Vol. 3161:
Radar Processing, Technology, and Applications II
William J. Miceli, Editor(s)

© SPIE. Terms of Use
Back to Top