Fusion of radar images: rectification without the flat earth assumption

Misha Pavel, Ravi K. Sharma

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

5 Scopus citations

Abstract

A multisensor suite that consists of a forward looking infrared camera, a radar, and a low light television camera is likely to be a useful component of enhanced and synthetic vision systems. We examine several aspects of signal processing needed to combine effectively the individual sensor outputs. First we discuss transformations of individual sensor image data to a common representation. Our focus is on rectification of radar data without relying on a flat-earth assumption. We then describe a novel approach to image representation that minimizes loss of information in the transformation process. Finally, we discuss an optimal algorithm for fusion of radar and infrared images.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsJacques G. Verly
Pages108-118
Number of pages11
StatePublished - Jan 1 1996
EventEnhanced and Synthetic Vision 1996 - Orlando, FL, USA
Duration: Apr 8 1996Apr 10 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2736

Other

OtherEnhanced and Synthetic Vision 1996
CityOrlando, FL, USA
Period4/8/964/10/96

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Pavel, M., & Sharma, R. K. (1996). Fusion of radar images: rectification without the flat earth assumption. In J. G. Verly (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 108-118). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2736).