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- W3489726 abstract "Moderate resolution remote sensing images provide broad spectrum, high spatial resolution, and rich texture information. However, most traditional classification approaches are based exclusively on the digital number of the pixel itself. Thereby only the spectral information is used for the classification. But some researches have shown that pixel-based approaches for classification of remotely sensed data are not very suitable for the analysis of moderate resolution images. In order to get a reasonable planning and effective management of land cover, the paper provide a new classification and extraction method. In this paper, the object-oriented image classification technology is used in the experiment of land cover information extraction for CBERS-01 data, and compared with the results of the pixel-based approaches. The results show that the Object-oriented technique is a more suited method for moderate-resolution remote sensing image classification and a better classification results." @default.
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- W3489726 date "2008-07-01" @default.
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- W3489726 title "Comparation and analysis methods of moderate-resolution satellite remote sensing image classification" @default.
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