Comparison of GENIE and conventional supervised classifiers formultispectral image feature extraction |
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Authors: | Harvey NR Theiler J Brumby SP Perkins S Szymanski JJ Bloch JJ Porter RB Galassi M Young AC |
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Affiliation: | Los Alamos Nat. Lab., NM; |
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Abstract: | The authors have developed an automated feature detection/classification system, called GENetic Imagery Exploitation (GENIE), which has been designed to generate image processing pipelines for a variety of feature detection/classification tasks. GENIE is a hybrid evolutionary algorithm that addresses the general problem of finding features of interest in multispectral remotely-sensed images. The authors describe their system in detail together with experiments involving comparisons of GENIE with several conventional supervised classification techniques, for a number of classification tasks using multispectral remotely sensed imagery |
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