From one-band complex images (each one related to an element of the Sinclair matrix), returns the selected decomposition.


From one-band complex images (HH, HV, VH, VV), returns the selected decomposition.

All the decompositions implemented are intended for the mono-static case (transmitter and receiver are co-located). There are two kinds of decomposition: coherent ones and incoherent ones. In the coherent case, only the Pauli decomposition is available. In the incoherent case, there the decompositions available: Huynen, Barnes, and H-alpha-A. User must provide three one-band complex images HH, HV or VH, and VV (mono-static case <=> HV = VH). Incoherent decompositions consist in averaging 3x3 complex coherency/covariance matrices; the user must provide the size of the averaging window, thanks to the parameter inco.kernelsize.


Input Image -inhh image Mandatory
Input image (HH)

Input Image -inhv image
Input image (HV)

Input Image -invh image
Input image (VH)

Input Image -invv image Mandatory
Input image (VV)

Output Image -out image [dtype] Mandatory
Output image

Decompositions -decomp [haa|barnes|huynen|pauli] Default value: haa

  • H-alpha-A incoherent decomposition
    H-alpha-A incoherent decomposition

  • Barnes incoherent decomposition
    Barnes incoherent decomposition

  • Huynen incoherent decomposition
    Huynen incoherent decomposition

  • Pauli coherent decomposition
    Pauli coherent decomposition

Incoherent decompositions

This group allows setting parameters related to the incoherent decompositions.

Kernel size for spatial incoherent averaging -inco.kernelsize int Default value: 3
Minute (0-59)

Available RAM (MB) -ram int Default value: 256
Available memory for processing (in MB).


From the command-line:

otbcli_SARDecompositions -inhh HH.tif -invh VH.tif -invv VV.tif -decomp haa -out HaA.tif

From Python:

import otbApplication

app = otbApplication.Registry.CreateApplication("SARDecompositions")

app.SetParameterString("inhh", "HH.tif")
app.SetParameterString("invh", "VH.tif")
app.SetParameterString("invv", "VV.tif")
app.SetParameterString("out", "HaA.tif")



Some decompositions output real images, while this application outputs complex images for general purpose. Users should pay attention to extract the real part of the results provided by this application.

See also