Parallel evolution of image processing tools for multispectral imagery | Zendy

Neal R. Harvey | Zendy; Steven P. Brumby | Zendy; Simon Perkins | Zendy; Reid Porter | Zendy; James Theiler | Zendy; Aaron C. Young | Zendy; J. Szymański | Zendy; Jeffrey J. Bloch | Zendy

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Parallel evolution of image processing tools for multispectral imagery

Author(s) -

Neal R. Harvey,

Steven P. Brumby,

Simon Perkins,

Reid Porter,

James Theiler,

Aaron C. Young,

J. Szymański,

Jeffrey J. Bloch

Publication year - 2000

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.406611

Subject(s) - computer science , workstation , multispectral image , thematic mapper , process (computing) , feature (linguistics) , image processing , parallel processing , image (mathematics) , evolutionary algorithm , artificial intelligence , parallel computing , remote sensing , satellite imagery , operating system , geology , linguistics , philosophy

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.

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