Enhanced resolution in SAR/ISAR imaging using iterative sidelobe apodization

Xiaojian Xu; Ram M. Narayanan

doi:10.1109/TIP.2004.841198

Enhanced resolution in SAR/ISAR imaging using iterative sidelobe apodization

Xiaojian Xu
, Ram M. Narayanan

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

71 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 language	English (US)
Pages (from-to)	537-547
Number of pages	11
Journal	IEEE Transactions on Image Processing
Volume	14
Issue number	4
DOIs	https://doi.org/10.1109/TIP.2004.841198
State	Published - Apr 2005

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

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10.1109/TIP.2004.841198

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title = "Enhanced resolution in SAR/ISAR imaging using iterative sidelobe apodization",

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.",

author = "Xiaojian Xu and Narayanan, \{Ram M.\}",

note = "Funding Information: Manuscript received January 20, 2003; revised April 26, 2004. This work was supported by the Air Force Office of Scientific Research (AFOSR) under Contract F49620-99-1-0209. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Nicolas Rougon.",

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N1 - Funding Information: Manuscript received January 20, 2003; revised April 26, 2004. This work was supported by the Air Force Office of Scientific Research (AFOSR) under Contract F49620-99-1-0209. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Nicolas Rougon.

PY - 2005/4

Y1 - 2005/4

N2 - 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.

AB - 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.

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Enhanced resolution in SAR/ISAR imaging using iterative sidelobe apodization

Abstract

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