Enhanced resolution in SAR/ISAR imaging using iterative sidelobe apodization

Xiaojian Xu, Ram M. Narayanan

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)537-547
Number of pages11
JournalIEEE Transactions on Image Processing
Volume14
Issue number4
DOIs
StatePublished - Apr 2005

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

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