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Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction

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9 Author(s)
N. R. Harvey ; Los Alamos Nat. Lab., NM, USA ; J. Theiler ; S. P. Brumby ; S. Perkins
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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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IEEE Transactions on Geoscience and Remote Sensing  (Volume:40 ,  Issue: 2 )