24 September 1997 ISAR imaging of moving targets via the Gabor wavelet transform
Author Affiliations +
Abstract
We describe an approach for inverse synthetic aperture radar (ISAR) imaging based on the Gabor wavelet transform. The Gabor basis function introduces three signal parameters which allow the components of a target signature to be mapped into a three-dimensional domain. Time, range, and frequency constitute the dimensions of this domain. Component distribution over the range and frequency dimensions corresponds to a snap shot of the target's scattering centers at a particular observation time. The snap shot resolution can be adjusted in each dimension by properly selecting the Gabor wavelet parameters. Parameter selection, as discussed in this paper, is used to minimize the quadratic phase distortion associated with moving target components. For multiple targets experiencing different velocities, selective motion compensation is incorporated to the Gabor wavelet transform approach, thus yielding focused imagery.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gabriel Thomas, Gabriel Thomas, Benjamin C. Flores, Benjamin C. Flores, Ana Martinez, Ana Martinez, } "ISAR imaging of moving targets via the Gabor wavelet transform", Proc. SPIE 3161, Radar Processing, Technology, and Applications II, (24 September 1997); doi: 10.1117/12.283948; https://doi.org/10.1117/12.283948
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

New discrete unitary Haar-type heap transforms
Proceedings of SPIE (September 19 2007)
Inverse synthetic aperture radar image processing
Proceedings of SPIE (May 31 1992)
Shape from texture using continuous wavelet transform
Proceedings of SPIE (December 03 2000)

Back to Top