Optimal sensor configuration in remote image formation

Behzad Sharif, Farzad Kamalabadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Determination of optimal sensor configuration is an important issue in many remote imaging modalities such as tomographic and interferometric imaging. In this paper, a statistical optimality criterion is defined and a search is performed over the space of candidate sensor locations to determine the configuration that optimizes the criterion over all candidates. To make the search process computationally feasible, a modified version of a previously proposed suboptimal backward greedy algorithm is used. Connections of the method to the deterministic backward greedy algorithm for the subset selection problem are presented and a conjecture on the optimality of the proposed method is suggested. Three compelling optimality criteria are introduced and their performance is investigated through numerical experiments for a tomographic imaging scenario. In all cases, it is verified that the chosen configuration by the proposed algorithm performs better than wisely chosen alternatives.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Number of pages4
StatePublished - 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: Sep 11 2005Sep 14 2005

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


OtherIEEE International Conference on Image Processing 2005, ICIP 2005

ASJC Scopus subject areas

  • General Engineering


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