FusionOfClassifications-dempstershafer otbcli_FusionOfClassifications FusionOfClassifications (dempstershafer) Learning Fuses several classifications maps of the same image on the basis of class labels. ParameterMultipleInput il Input classifications List of input classification maps to fuse. Labels in each classification image must represent the same class. False ParameterSelection method Fusion method Selection of the fusion method and its parameters. dempstershafer 0 ParameterMultipleInput method.dempstershafer.cmfl Confusion Matrices A list of confusion matrix files (*.CSV format) to define the masses of belief and the class labels. Each file should be formatted the following way: the first line, beginning with a '#' symbol, should be a list of the class labels present in the corresponding input classification image, organized in the same order as the confusion matrix rows/columns. False ParameterSelection method.dempstershafer.mob Mass of belief measurement Type of confusion matrix measurement used to compute the masses of belief of each classifier. precision recall accuracy kappa 0 ParameterNumber nodatalabel Label for the NoData class Label for the NoData class. Such input pixels keep their NoData label in the output image and are not handled in the fusion process. By default, 'nodatalabel = 0'. 0 ParameterNumber undecidedlabel Label for the Undecided class Label for the Undecided class. Pixels with more than 1 fused class are marked as Undecided. Please note that the Undecided value must be different from existing labels in the input classifications. By default, 'undecidedlabel = 0'. 0 OutputRaster out The output classification image The output classification image resulting from the fusion of the input classification images.