Parallel Evolution of Image Processing Tools for Multispectral Imagery.

Harvey, N. R. ; Brumby, S. P. ; Perkins, S. J. ; Porter, R. B. ; Theiler, J. ; Cody Young, A. ; Szymanski, J. J. ; Bloch, J. J.

Technical Information Center Oak Ridge Tennessee

关键词: Multispectral photography;    Landsat sattelites;    Forest fires;    Parallel processing(Computers);    Genetic mapping;   

RP-ID  :  PB2001105664

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

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 spatial-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.