Fuzzy Model estimation Application

Brief Description

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

Tags

Feature Extraction

Long Description

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

Parameters

[param] Input Positive Vector Data (-psin): Ground truth vector data for positive samples
[param] Input Negative Vector Data (-nsin): Ground truth vector data for negative samples
[param] Belief Support (-belsup): Dempster Shafer study hypothesis to compute belief
[param] Plausibility Support (-plasup): Dempster Shafer study hypothesis to compute plausibility
[param] Criterion (-cri): Dempster Shafer criterion (by default (belief+plausibility)/2)
[param] Weighting (-wgt): Coefficient between 0 and 1 to promote undetection or false detections (default 0.5)
[param] initial model (-initmod): Initial state for the model Optimizer
[param] Descriptor list (-desclist): List of the descriptors used in the model (must be specified to perform an automatic initialization)
[param] Maximum number of iterations (-maxnbit): Maximum number of optimizer iteration (default 200)
[param] Optimizer Observer (-optobs): Activate the optimizer observer
[param] Output filename (-out): Output model file name (xml file)

Limitations

None.

Authors

OTB-Team