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.
The H-alpha-A decomposition is currently the only one available; it is implemented for the monostatic case
(transmitter and receiver are co-located).
User must provide three one-band complex images HH, HV or VH, and VV (monostatic case <=>HV =
VH).
The H-alpha-A decomposition consists in averaging 3x3 complex coherency matrices (incoherent analysis);
the user must provide the size of the averaging window, thanks to the parameter inco.kernelsize.
The applications returns a float vector image, made up of three channels : H (entropy), Alpha, A
(Anisotropy).
This section describes in details the parameters available for this application. Table 4.166, page 806 presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is SARDecompositions.
Parameter key | Parameter type |
Parameter description |
inhh | Input image |
Input Image |
inhv | Input image |
Input Image |
invh | Input image |
Input Image |
invv | Input image |
Input Image |
out | Output image |
Output Image |
decomp | Choices |
Decompositions |
decomp haa | Choice |
H-alpha-A decomposition |
inco | Group |
Incoherent decompositions |
inco.kernelsize | Int |
Kernel size for spatial incoherent averaging. |
ram | Int |
Available RAM (Mb) |
inxml | XML input parameters file |
Load otb application from xml file |
outxml | XML output parameters file |
Save otb application to xml file |
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Decompositions Available choices are:
Incoherent decompositions This group allows setting parameters related to the incoherent decompositions.
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:
To run this example from Python, use the following code snippet:
None
This application has been written by OTB-Team.
These additional ressources can be useful for further information: