Parallel evolution of image processing tools for multispectral imagery

Neal R. Harvey, Steven P. Brumby, Simon J. Perkins, Reid B. Porter, James Theiler, A. Cody Young, John J. Szymanski, Jeffrey J. Bloch

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

11 Scopus citations

Abstract

We describe the implementation and performance of a parallel, hybrid evolutionary-algorithm-based system, which optimizes image processing tools for feature-finding tasks in multi-spectral imagery (MSI) data sets. Our system uses an integrated spatio-spectral approach and is capable of combining suitably-registered data from different sensors. We investigate the speed-up obtained by parallelization of the evolutionary process via multiple processors (a workstation cluster) and develop a model for prediction of run-times for different numbers of processors. We demonstrate our system on Landsat Thematic Mapper MSI, covering the recent Cerro Grande fire at Los Alamos, NM, USA.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages72-82
Number of pages11
Volume4132
DOIs
StatePublished - 2000
Externally publishedYes
EventImaging Spectrometry VI - San Diego, USA
Duration: Jul 31 2000Aug 2 2000

Other

OtherImaging Spectrometry VI
CitySan Diego, USA
Period7/31/008/2/00

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Harvey, N. R., Brumby, S. P., Perkins, S. J., Porter, R. B., Theiler, J., Young, A. C., Szymanski, J. J., & Bloch, J. J. (2000). Parallel evolution of image processing tools for multispectral imagery. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4132, pp. 72-82). Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.406611