Parallel evolution of image processing tools for multispectral imagery

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

doi:10.1117/12.406611

15 November 2000 Parallel evolution of image processing tools for multispectral imagery

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

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Proceedings Volume 4132, Imaging Spectrometry VI; (2000) https://doi.org/10.1117/12.406611
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Neal R. Harvey, Steven P. Brumby, Simon J. Perkins, Reid B. Porter, James P. Theiler, Aaron Cody Young, John J. Szymanski, and Jeffrey J. Bloch "Parallel evolution of image processing tools for multispectral imagery", Proc. SPIE 4132, Imaging Spectrometry VI, (15 November 2000); https://doi.org/10.1117/12.406611

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