Enhanced resolution in SAR/ISAR imaging using iterative sidelobe apodization

Resolution enhancement techniques in radar imaging have attracted considerable interest in recent years. In this work, we develop an iterative sidelobe apodization technique and investigate its applications to synthetic aperture radar (SAR) and inverse SAR (ISAR) image processing. A modified noninte...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on image processing 2005-04, Vol.14 (4), p.537-547
Main Authors: Xiaojian Xu, Narayanan, R.M.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial Intelligence
Bandwidth
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
History
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Image resolution
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
Information, signal and communications theory
inverse synthetic aperture radar (ISAR)
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated - methods
Predictive models
Radar imaging
Reproducibility of Results
Sensitivity and Specificity
Signal and communications theory
Signal processing
Signal Processing, Computer-Assisted
Signal resolution
Signal to noise ratio
Signal, noise
Spatial resolution
super resolution
Synthetic aperture radar
synthetic aperture radar (SAR)
Telecommunications and information theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Resolution enhancement techniques in radar imaging have attracted considerable interest in recent years. In this work, we develop an iterative sidelobe apodization technique and investigate its applications to synthetic aperture radar (SAR) and inverse SAR (ISAR) image processing. A modified noninteger Nyquist spatially variant apodization (SVA) formulation is proposed, which is applicable to direct iterative image sidelobe apodization without using computationally intensive upsampling interpolation. A refined iterative sidelobe apodization procedure is then developed for image-resolution enhancement. Examples using this technique demonstrate enhanced image resolution in various applications, including airborne SAR imaging, image processing for three-dimensional interferometric ISAR imaging, and foliage-penetration ultrawideband SAR image processing.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2004.841198