Classifying Multilevel Segmented Terrasar-x Data, Using Support Vector Machines
نویسندگان
چکیده
To segment a image with strongly varying object sizes results generally in under-segmentation of small structures or over-segmentation of big ones, which consequences poor classification accuracies. A strategy to produce multiple segmentations of one image and classification with support vector machines (SVM) of this segmentation stack afterwards is shown.
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