Image Dimensionality Reduction

Brief Description

Performs dimensionality reduction of the input image according to a dimensionality reduction model file.

Tags

Learning

Long Description

This application reduces the dimension of an input image, based on a machine learning model file produced by the TrainDimensionalityReduction application. Pixels of the output image will contain the reduced values fromthe model. The input pixels can be optionally centered and reduced according to the statistics file produced by the ComputeImagesStatistics application.

Parameters

Input Image (in): The input image to predict.
Input Mask (mask): The mask allow restricting classification of the input image to the area where mask pixel values are greater than 0.
Model file (model): A dimensionality reduction model file (produced by TrainRegression application).
Statistics file (imstat): A XML file containing mean and standard deviation to center and reduce samples before prediction (produced by ComputeImagesStatistics application). If this file containsone more bands than the sample size, the last stat of last band will beapplied to expand the output predicted value
Output Image (out): Output image containing reduced values
Available RAM (Mb) (ram): Available memory for processing (in MB)
Load otb application from xml file (inxml): Load otb application from xml file
Save otb application to xml file (outxml): Save otb application to xml file

Limitations

The input image must contain the feature bands used for the model training. If a statistics file was used during training by the Training application, it is mandatory to use the same statistics file for reduction.

Authors

OTB-Team