Regularization Analysis of SAR Superresolution

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Superresolution concepts offer the potential of resolution beyond the classical limit. This great promise has not generally been realized. In this study we investigate the potential application of superresolution concepts to synthetic aperture radar. The analytical basis for superresolution theory is discussed. In a previous report the application of the concept to synthetic aperture radar was investigated as an operator inversion problem. Generally, the operator inversion problem is ill posed. This work treats the problem from the standpoint of regularization. Both the operator inversion approach and the regularization approach show that the ability to superresolve SAR imagery is severely limited … continued below

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18 pages

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DELAURENTIS,JOHN M. & DICKEY,FRED M. April 1, 2002.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Superresolution concepts offer the potential of resolution beyond the classical limit. This great promise has not generally been realized. In this study we investigate the potential application of superresolution concepts to synthetic aperture radar. The analytical basis for superresolution theory is discussed. In a previous report the application of the concept to synthetic aperture radar was investigated as an operator inversion problem. Generally, the operator inversion problem is ill posed. This work treats the problem from the standpoint of regularization. Both the operator inversion approach and the regularization approach show that the ability to superresolve SAR imagery is severely limited by system noise.

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18 pages

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  • Other Information: PBD: 1 Apr 2002

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  • April 1, 2002

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  • Oct. 19, 2015, 7:39 p.m.

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  • April 12, 2016, 6:40 p.m.

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DELAURENTIS,JOHN M. & DICKEY,FRED M. Regularization Analysis of SAR Superresolution, report, April 1, 2002; Albuquerque, New Mexico. (https://digital.library.unt.edu/ark:/67531/metadc735198/: accessed April 19, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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