Local Statistic Extraction

Brief Description

Computes local statistical moments on every pixel in the selected channel of the input image

Tags

Feature Extraction, Statistics

Long Description

This application computes the 4 local statistical moments on every pixel in the selected channel of the input image, over a specified neighborhood. The output image is multi band with one statistical moment (feature) per band. Thus, the 4 output features are the Mean, the Variance, the Skewness and the Kurtosis. They are provided in this exact order in the output image.

Parameters

• Input Image (in): The input image to compute the features on.

• Selected Channel (channel): The selected channel index

• Available RAM (Mb) (ram): Available memory for processing (in MB)

• Neighborhood radius (radius): The computational window radius.

• Feature Output Image (out): Output image containing the local statistical moments.

• 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

None

Authors

OTB-Team

See also

otbRadiometricMomentsImageFunction class

Example of use

• Values for GUIs:

• in: qb_RoadExtract.tif

• channel: 1

• radius: 3

• out: Statistics.tif

• Command line to execute:

otbcli_LocalStatisticExtraction -in qb_RoadExtract.tif -channel 1 -radius 3 -out Statistics.tif