Estimation of object location from short pulse scatter data

George A. Tsihrintzis, Anthony J. Devaney, Ehud Heyman

Research output: Contribution to journalConference articlepeer-review


We present an efficient algorithm for computation of the maximum likelihood estimate of the location of a known target from short pulse scatter data measured in a suite of tomographic experiments. The algorithm consists of a three step procedure: (1) data filtering, (2) dime-domain backpropagation, and (3) coherent summation and employs of a number of forward and inverse Radon transforms integrated in a tomographic scheme. A computer simulation is included for illustration purposes.

Original languageEnglish
Pages (from-to)918-929
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1998
EventDetection and Remediation Technologies for Mines and Minelike Targets III - Orlando, FL, United States
Duration: 13 Apr 199813 Apr 1998


  • Filtered backpropagation
  • Inverse scattering
  • Radon transform
  • Tomography


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