Fuzzy Model estimation¶

Detailed description¶

Estimate feature fuzzy model parameters using 2 vector data (ground truth samples and wrong samples).

Parameters¶

This section describes in details the parameters available for this application. Table [1] presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is DSFuzzyModelEstimation .

• Input Positive Vector Data: Ground truth vector data for positive samples.
• Input Negative Vector Data: Ground truth vector data for negative samples.
• 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).
• Weighting: Coefficient between 0 and 1 to promote undetection or false detections (default 0.5).
• initialization model: Initialization model (xml file) to be used. If the xml initialization model is set, the descriptor list is not used (specified using the option -desclist).
• Descriptor list: List of the descriptors to be used in the model (must be specified to perform an automatic initialization).
• Maximum number of iterations: Maximum number of optimizer iteration (default 200).
• Optimizer Observer: Activate the optimizer observer.
• Output filename: Output model file name (xml file) contains the optimal model to perform information fusion.
• 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_DSFuzzyModelEstimation -psin cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_gt.shp -nsin cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_wr.shp -belsup "ROADSA" -plasup "NONDVI" "ROADSA" "NOBUIL" -initmod Dempster-Shafer/DSFuzzyModel_Init.xml -maxnbit 4 -optobs true -out DSFuzzyModelEstimation.xml

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 DSFuzzyModelEstimation application
DSFuzzyModelEstimation = otbApplication.Registry.CreateApplication("DSFuzzyModelEstimation")

# The following lines set all the application parameters:
DSFuzzyModelEstimation.SetParameterString("psin", "cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_gt.shp")

DSFuzzyModelEstimation.SetParameterString("nsin", "cdbTvComputePolylineFeatureFromImage_LI_NOBUIL_wr.shp")

DSFuzzyModelEstimation.SetParameterStringList("belsup", ['"ROADSA"'])

DSFuzzyModelEstimation.SetParameterStringList("plasup", ['"NONDVI"', '"ROADSA"', '"NOBUIL"'])

DSFuzzyModelEstimation.SetParameterString("initmod", "Dempster-Shafer/DSFuzzyModel_Init.xml")

DSFuzzyModelEstimation.SetParameterInt("maxnbit", 4)

DSFuzzyModelEstimation.SetParameterString("optobs","1")

DSFuzzyModelEstimation.SetParameterString("out", "DSFuzzyModelEstimation.xml")

# The following line execute the application
DSFuzzyModelEstimation.ExecuteAndWriteOutput()