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- W2046332925 abstract "In this paper, the classifiers for land/water and natural land/artificial land combined the texture measures with spectral analysis for remote sensing images have been built. The specific recognition has been designed in order to take advantages of both analyses. Moreover, coastal line development analysis, the length or ratio of natural/artificial seacoast, could be calculated automatically. The use of red/infrared spectral analysis refines the boundary of classes; meanwhile the merging of co-occurrence matrix texture analysis and spectral information has improved the accuracy of the three-class labeling." @default.
- W2046332925 created "2016-06-24" @default.
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- W2046332925 date "2008-01-01" @default.
- W2046332925 modified "2023-09-23" @default.
- W2046332925 title "Land Covers Classification for Remote Sensing Images Based on Spectral and Textural Information" @default.
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- W2046332925 doi "https://doi.org/10.2991/jcis.2008.78" @default.
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