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Phaseless imaging with experimental data: facts and challenges.

Michele D'Urso1, Kamal Belkebir, Lorenzo Crocco

  • 1DIET-Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, Università degli Studidi Napoli Federico II, Via Claudio 21, I-80125 Naples, Italy. micdurso@unina.it

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|December 25, 2007
PubMed
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This study compares two inverse profiling methods for 2D target characterization using phaseless data. Both methods efficiently reconstruct targets, with one using intensity data and the other a two-step field retrieval approach.

Area of Science:

  • Optics and Photonics
  • Electromagnetics
  • Inverse Problems

Background:

  • Phaseless data in inverse scattering problems presents unique challenges.
  • Target characterization is crucial in various imaging and sensing applications.
  • Traditional methods often require full-field or phase information.

Purpose of the Study:

  • To investigate and compare two distinct inverse profiling schemes for 2D target characterization.
  • To evaluate the effectiveness of using total-field phaseless data for target reconstruction.
  • To provide guidance on measurement setup optimization, including source and receiver configurations.

Main Methods:

  • A minimization scheme utilizing intensity-only data with a specifically defined cost functional.
  • A two-step strategy involving retrieval of embedded scattered fields followed by solving the inverse scattering problem.

Related Experiment Videos

  • Exploitation of analytical field properties and quadratic operator inversion theory.

    • Main Results:

    • Both presented inversion schemes demonstrate efficiency in 2D target characterization.
    • The intensity-only method avoids global optimization through specific normalization and starting guess strategies.
    • The second scheme successfully retrieves complex scattered fields for subsequent inverse scattering analysis.
    • Experimental data validate the effectiveness of the developed approaches and tools.

    Conclusions:

    • Phaseless data inversion schemes are viable for 2D target characterization.
    • The choice of inversion strategy can be guided by the analytical properties of the fields.
    • Optimized measurement setups enhance the performance of these inverse profiling techniques.