Maximum likelihood SAR autofocus with low-return region

Kuang Hung Liu; Ami Wiesel; David C. Munson

doi:10.1109/ICASSP.2011.5946669

Maximum likelihood SAR autofocus with low-return region

Kuang Hung Liu^*, Ami Wiesel, David C. Munson

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Autofocus algorithms deal with image restoration in a nonideal synthetic aperture radar (SAR) imaging system. We propose a novel autofocus algorithm, denoted as MLA, that is based on maximum likelihood estimation. MLA belongs to a class of autofocus algorithms that rely on a known low-return region in the underlying image. We find conditions under which MLA is equivalent to previous methods belonging to the same class. Simulation results show that when compared to previous methods, MLA performs better both in terms of visual quality of the restored image and mean square error (MSE) of the estimated unknown parameters.

Original language	English
Title of host publication	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages	1377-1380
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2011.5946669
State	Published - 2011
Event	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic Duration: 22 May 2011 → 27 May 2011

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/Territory	Czech Republic
City	Prague
Period	22/05/11 → 27/05/11

Keywords

Fourier-domain multichannel autofocus
autofocus
maximum likelihood estimator
multichannel autofocus
synthetic aperture radar

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10.1109/ICASSP.2011.5946669

Cite this

Liu, K. H., Wiesel, A., & Munson, D. C. (2011). Maximum likelihood SAR autofocus with low-return region. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 1377-1380). Article 5946669 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2011.5946669

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title = "Maximum likelihood SAR autofocus with low-return region",

abstract = "Autofocus algorithms deal with image restoration in a nonideal synthetic aperture radar (SAR) imaging system. We propose a novel autofocus algorithm, denoted as MLA, that is based on maximum likelihood estimation. MLA belongs to a class of autofocus algorithms that rely on a known low-return region in the underlying image. We find conditions under which MLA is equivalent to previous methods belonging to the same class. Simulation results show that when compared to previous methods, MLA performs better both in terms of visual quality of the restored image and mean square error (MSE) of the estimated unknown parameters.",

keywords = "Fourier-domain multichannel autofocus, autofocus, maximum likelihood estimator, multichannel autofocus, synthetic aperture radar",

author = "Liu, {Kuang Hung} and Ami Wiesel and Munson, {David C.}",

year = "2011",

doi = "10.1109/ICASSP.2011.5946669",

language = "אנגלית",

isbn = "9781457705397",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "1377--1380",

booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",

note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",

}

Liu, KH, Wiesel, A & Munson, DC 2011, Maximum likelihood SAR autofocus with low-return region. in 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings., 5946669, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 1377-1380, 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague, Czech Republic, 22/05/11. https://doi.org/10.1109/ICASSP.2011.5946669

Maximum likelihood SAR autofocus with low-return region. / Liu, Kuang Hung; Wiesel, Ami; Munson, David C.
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 1377-1380 5946669 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Autofocus algorithms deal with image restoration in a nonideal synthetic aperture radar (SAR) imaging system. We propose a novel autofocus algorithm, denoted as MLA, that is based on maximum likelihood estimation. MLA belongs to a class of autofocus algorithms that rely on a known low-return region in the underlying image. We find conditions under which MLA is equivalent to previous methods belonging to the same class. Simulation results show that when compared to previous methods, MLA performs better both in terms of visual quality of the restored image and mean square error (MSE) of the estimated unknown parameters.

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Maximum likelihood SAR autofocus with low-return region

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