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- W638282 abstract "In this work the potentiality of the textural information that polarimetric SIR- C data can provide to discriminate some types of land use is studied. That information is extracted from the data by using statistical and distributional measures. The Euclidean distance is used to select the best set of features for discriminating classes of interest. Features bands (textural bands) are built by filtering the images, and they are used as channels on ICM classification. The discriminatory power of the selected features is assessed by analyzing the classification results, which are evaluated using the confusion matrix and the Kappa coefficient of agreement. The results show that the textural information, as well as the tonal information provided by these images are very important to discriminate the land use under study." @default.
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- W638282 date "1998-01-01" @default.
- W638282 modified "2023-09-26" @default.
- W638282 title "The use of textural features on the polarimetric SAR image classification" @default.
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