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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 22, Iss. 9 — May. 5, 2014
  • pp: 10119–10138

Multi-resolution imaging with an optimized number and distribution of sampling points

Amedeo Capozzoli, Claudio Curcio, and Angelo Liseno  »View Author Affiliations

Optics Express, Vol. 22, Issue 9, pp. 10119-10138 (2014)

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We propose an approach of interest in Imaging and Synthetic Aperture Radar (SAR) tomography, for the optimal determination of the scanning region dimension, of the number of sampling points therein, and their spatial distribution, in the case of single frequency monostatic multi-view and multi-static single-view target reflectivity reconstruction. The method recasts the reconstruction of the target reflectivity from the field data collected on the scanning region in terms of a finite dimensional algebraic linear inverse problem. The dimension of the scanning region, the number and the positions of the sampling points are optimally determined by optimizing the singular value behavior of the matrix defining the linear operator. Single resolution, multi-resolution and dynamic multi-resolution can be afforded by the method, allowing a flexibility not available in previous approaches. The performance has been evaluated via a numerical and experimental analysis.

© 2014 Optical Society of America

OCIS Codes
(110.0110) Imaging systems : Imaging systems
(280.0280) Remote sensing and sensors : Remote sensing and sensors

ToC Category:
Imaging Systems

Original Manuscript: November 13, 2013
Revised Manuscript: December 23, 2013
Manuscript Accepted: January 7, 2014
Published: April 21, 2014

Amedeo Capozzoli, Claudio Curcio, and Angelo Liseno, "Multi-resolution imaging with an optimized number and distribution of sampling points," Opt. Express 22, 10119-10138 (2014)

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