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Image-Based RCS Estimation from Near-Field Data.

Tushar RajvanshiMaria Antonia MaistoAngela Dell'AversanoRaffaele Solimene
Published in: Journal of imaging (2019)
This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement curve, is developed. The developed formalism allows us to address the important question concerning the need to employ a multi-frequency configuration to estimate the RCS. Accordingly, it is shown that if RCS is required at a given frequency, then the target image obtained solely at such a frequency can be exploited provided that the spatial truncation arising from the size of the investigated area is properly taken into account.
Keyphrases
  • deep learning
  • electronic health record
  • big data
  • magnetic resonance
  • magnetic resonance imaging
  • minimally invasive
  • artificial intelligence
  • computed tomography
  • contrast enhanced