Local Statistic Extraction ^^^^^^^^^^^^^^^^^^^^^^^^^^ Computes local statistical moments on every pixel in the selected channel of the input image Detailed 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 ---------- This section describes in details the parameters available for this application. Table [#]_ presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is *LocalStatisticExtraction* . .. [#] Table: Parameters table for Local Statistic Extraction. +-------------+--------------------------+----------------------------------+ |Parameter Key|Parameter Type |Parameter Description | +=============+==========================+==================================+ |in |Input image |Input image | +-------------+--------------------------+----------------------------------+ |channel |Int |Int | +-------------+--------------------------+----------------------------------+ |ram |Int |Int | +-------------+--------------------------+----------------------------------+ |radius |Int |Int | +-------------+--------------------------+----------------------------------+ |out |Output image |Output image | +-------------+--------------------------+----------------------------------+ |inxml |XML input parameters file |XML input parameters file | +-------------+--------------------------+----------------------------------+ |outxml |XML output parameters file|XML output parameters file | +-------------+--------------------------+----------------------------------+ - **Input Image:** The input image to compute the features on. - **Selected Channel:** The selected channel index. - **Available RAM (Mb):** Available memory for processing (in MB). - **Neighborhood radius:** The computational window radius. - **Feature Output Image:** Output image containing the local statistical moments. - **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_LocalStatisticExtraction -in qb_RoadExtract.tif -channel 1 -radius 3 -out Statistics.tif 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 LocalStatisticExtraction application LocalStatisticExtraction = otbApplication.Registry.CreateApplication("LocalStatisticExtraction") # The following lines set all the application parameters: LocalStatisticExtraction.SetParameterString("in", "qb_RoadExtract.tif") LocalStatisticExtraction.SetParameterInt("channel", 1) LocalStatisticExtraction.SetParameterInt("radius", 3) LocalStatisticExtraction.SetParameterString("out", "Statistics.tif") # The following line execute the application LocalStatisticExtraction.ExecuteAndWriteOutput() Limitations ~~~~~~~~~~~ None Authors ~~~~~~~ This application has been written by OTB-Team. See Also ~~~~~~~~ These additional ressources can be useful for further information: otbRadiometricMomentsImageFunction class