ComputeImagesStatistics - Compute Images second order statistics

Computes global mean and standard deviation for each band from a set of images and optionally saves the results in an XML file.

Detailed description

This application computes a global mean and standard deviation for each band of a set of images and optionally saves the results in an XML file. The output XML is intended to be used as an input for the TrainImagesClassifier application to normalize samples before learning. You can also normalize the image with the XML file in the ImageClassifier application.


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 ComputeImagesStatistics .

[1]Table: Parameters table for Compute Images second order statistics.
Parameter Key Parameter Name Parameter Type
il Input images Input image list
bv Background Value Float
out Output XML file Output File name
ram Available RAM (Mb) Int
inxml Load otb application from xml file XML input parameters file
outxml Save otb application to xml file XML output parameters file
  • Input images: List of input image filenames.
  • Background Value: Background value to ignore in computation of statistics.
  • Output XML file: XML filename where the statistics are saved for future reuse.
  • Available RAM (Mb): Available memory for processing (in MB).
  • Load otb application from xml file: Load otb application from xml file.
  • Save otb application to xml file: Save otb application to xml file.


To run this example in command-line, use the following:

otbcli_ComputeImagesStatistics -il QB_1_ortho.tif -out EstimateImageStatisticsQB1.xml

To run this example from Python, use the following code snippet:


# Import the otb applications package
import otbApplication

# The following line creates an instance of the ComputeImagesStatistics application
ComputeImagesStatistics = otbApplication.Registry.CreateApplication("ComputeImagesStatistics")

# The following lines set all the application parameters:
ComputeImagesStatistics.SetParameterStringList("il", ['QB_1_ortho.tif'])

ComputeImagesStatistics.SetParameterString("out", "EstimateImageStatisticsQB1.xml")

# The following line execute the application


Each image of the set must contain the same bands as the others (i.e. same types, in the same order).


This application has been written by OTB-Team.

See Also

These additional resources can be useful for further information:
Documentation of the TrainImagesClassifier and ImageClassifier application.