MCA: A multichannel approach to SAR autofocus
Name
Morrison-2009-MCA A Multichannel Approach to SAR Autofocus.pdf
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4.88 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Morrison, Robert L., Jr.
Do, Minh N.
Munson, David C.
Date Issued
April 2009
Journal
IEEE Transactions on Image Processing
Publisher
Institute of Electrical and Electronics Engineers
Citation
Morrison, R.L., M.N. Do, and D.C. Munson. “MCA: A Multichannel Approach to SAR Autofocus.” Image Processing, IEEE Transactions on 18.4 (2009): 840-853. © 2009 IEEE.
Version
Final published version
Abstract
We present a new noniterative approach to synthetic aperture radar (SAR) autofocus, termed the multichannel autofocus (MCA) algorithm. The key in the approach is to exploit the multichannel redundancy of the defocusing operation to create a linear subspace, where the unknown perfectly focused image resides, expressed in terms of a known basis formed from the given defocused image. A unique solution for the perfectly focused image is then directly determined through a linear algebraic formulation by invoking an additional image support condition. The MCA approach is found to be computationally efficient and robust and does not require prior assumptions about the SAR scene used in existing methods. In addition, the vector-space formulation of MCA allows sharpness metric optimization to be easily incorporated within the restoration framework as a regularization term. We present experimental results characterizing the performance of MCA in comparison with conventional autofocus methods and discuss the practical implementation of the technique.
MIT Department
Lincoln Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TIP.2009.2012883
