Vector Data validation ^^^^^^^^^^^^^^^^^^^^^^ Vector data validation based on the fusion of features using Dempster-Shafer evidence theory framework. Detailed description -------------------- This application validates or unvalidate the studied samples using the Dempster-Shafer theory. Parameters ---------- This section describes in details the parameters available for this application. Table [#]_ presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is *VectorDataDSValidation* . .. [#] Table: Parameters table for Vector Data validation. +-------------+--------------------------+----------------------------------+ |Parameter Key|Parameter Type |Parameter Description | +=============+==========================+==================================+ |in |Input vector data |Input vector data | +-------------+--------------------------+----------------------------------+ |descmod |Input File name |Input File name | +-------------+--------------------------+----------------------------------+ |belsup |String list |String list | +-------------+--------------------------+----------------------------------+ |plasup |String list |String list | +-------------+--------------------------+----------------------------------+ |cri |String |String | +-------------+--------------------------+----------------------------------+ |thd |Float |Float | +-------------+--------------------------+----------------------------------+ |out |Output vector data |Output vector data | +-------------+--------------------------+----------------------------------+ |inxml |XML input parameters file |XML input parameters file | +-------------+--------------------------+----------------------------------+ |outxml |XML output parameters file|XML output parameters file | +-------------+--------------------------+----------------------------------+ - **Input Vector Data:** Input vector data to validate. - **Descriptors model filename:** Fuzzy descriptors model (xml file). - **Belief Support:** Dempster Shafer study hypothesis to compute belief. - **Plausibility Support:** Dempster Shafer study hypothesis to compute plausibility. - **Criterion:** Dempster Shafer criterion (by default (belief+plausibility)/2). - **Criterion threshold:** Criterion threshold (default 0.5). - **Output Vector Data:** Output VectorData containing only the validated samples. - **Load otb application from xml file:** Load otb application from xml file. - **Save otb application to xml file:** Save otb application to xml file. Example ------- To run this example in command-line, use the following: :: otbcli_VectorDataDSValidation -in cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_gt.shp -belsup cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_gt.shp -descmod DSFuzzyModel.xml -out VectorDataDSValidation.shp To run this example from Python, use the following code snippet: :: #!/usr/bin/python # Import the otb applications package import otbApplication # The following line creates an instance of the VectorDataDSValidation application VectorDataDSValidation = otbApplication.Registry.CreateApplication("VectorDataDSValidation") # The following lines set all the application parameters: VectorDataDSValidation.SetParameterString("in", "cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_gt.shp") VectorDataDSValidation.SetParameterStringList("belsup", ['cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_gt.shp']) VectorDataDSValidation.SetParameterString("descmod", "DSFuzzyModel.xml") VectorDataDSValidation.SetParameterString("out", "VectorDataDSValidation.shp") # The following line execute the application VectorDataDSValidation.ExecuteAndWriteOutput() Limitations ~~~~~~~~~~~ None. Authors ~~~~~~~ This application has been written by OTB-Team. See Also ~~~~~~~~ These additional ressources can be useful for further information: http://en.wikipedia.org/wiki/Dempster-Shafer_theory