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A knowledge-based, transferable approach for block-based urban land-use classification

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Comparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data

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The potential of kernel classification techniques for land use mapping in urban areas using 5m-spatial resolution IRS-1C imagery

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