An application of splines to maximum likelihood radar imaging

Joseph A. O'Sullivan, Donald L. Snyder, Donald G. Porter, Pierre Moulin

Research output: Contribution to journalArticlepeer-review

Abstract

Recent results in radar imaging using estimation theoretic techniques are applied to forming images from data from a compact radar range. Nonparametric maximum likelihood methods based on spline approximations are used. The object imaged is a one meter diameter sphere covered with wrinkled aluminum foil. This rough sphere approximately fits the diffuse model and the ideal scattering function for a rough rotating sphere is known. The results shown demonstrate that the proposed algorithm is realizable and that the image are comparable to simulations.©1993 John Wiley & Sons Inc

Original languageEnglish (US)
Pages (from-to)256-264
Number of pages9
JournalInternational Journal of Imaging Systems and Technology
Volume4
Issue number4
DOIs
StatePublished - Jan 1 1992
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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