ENH : Wiki for DiapOTB module authored by Gaëlle USSEGLIO's avatar Gaëlle USSEGLIO
# SARRobustInterferogram
Estimates robust interferogram with flatenning and averaging.
## Description
This application estimates the flatenning and averaging interferogram between two SAR images (Master and Coregistrated Slave).
## Parameters
**Input SAR Slave image (Coregistrated image)** `-incoregistratedslave image` *Mandatory* <br />
Input SAR Slave image (Coregistrated image).
**Input SAR Slave image (Metadata)** `-insarslave image` *Mandatory* <br />
Input SAR Slave image (Metadata).
**Input SAR Master image** `-insarmaster image` *Mandatory* <br />
Input SAR Master image.
**Input DEM (for metadata only)** `-indem image` <br />
Input DEM (for metadata only).
**Input deformation grid** `-ingrid image` *Mandatory* <br />
Input deformation grid.
**Input Cartesian Mean Master image** `-incartmeanmaster image` *Mandatory* <br />
Input Cartesian Mean Master image.
**Grid Step for range dimension into SLC geometry** `-gridsteprange int` *Default value: 150* <br />
Grid Step for range dimension into SLC geometry.
**Grid Step for azimut dimension into SLC geometry** `-gridstepazimut int` *Default value: 150* <br />
Grid Step for azimut dimension into SLC geometry.
**ML factor on range** `-mlran int` *Default value: 3* <br />
ML factor on range.
**ML factor on azimut** `-mlazi int` *Default value: 3* <br />
ML factor on azimut.
**Margin on distance for averaging** `-marginran int` *Default value: 1* <br />
Margin on distance for averaging
**Margin on azimut for averaging** `-marginazi int` *Default value: 1* <br />
Margin on azimut for averaging
**Gain to apply for amplitude estimation** `-gain float` *Default value: 0.1* <br />
Gain to apply for amplitude estimation
**Build interferogram into ortho geometry** `-ortho bool` *Default value: false* <br />
If true, then build interferogram into ortho geometry.
**Output interferogram (ML geometry)** `-out image [dtype]` *Mandatory* <br />
Output interferogram (ML geometry).
**Interferogram into ortho geometry** `-outopt image [dtype]` <br />
Output Vector Image : Interferogram into ortho geometry.
**Available RAM (MB)** `-ram int` *Default value: 256* <br />
Available memory for processing (in MB).
## Examples
From the command-line:
```
otbcli_SARRobustInterferogram -insarslave s1b-s4-slc-vv-20160929t014610-20160929t014634-002277-003d71-002.tiff -incoregistratedslave s1b-s4-slc-vv-20160929t014610-20160929t014634-002277-003d71-002_coregistrated.tiff -insarmaster s1a-s4-slc-vv-20160818t014650-20160818t014715-012648-013db1-002_SLC.tiff -indem S21E055.hgt -incartmeanmaster CartesianMaster.tiff -ingrid ./FineDeformation.tiff -gain 0.1 -out s1b-s1a-s4-RobustInterferogram.tiff
```
From Python:
```
import otbApplication
app = otbApplication.Registry.CreateApplication("SARRobustInterferogram")
app.SetParameterString("insarslave", "s1b-s4-slc-vv-20160929t014610-20160929t014634-002277-003d71-002.tiff")
app.SetParameterString("incoregistratedslave", "s1b-s4-slc-vv-20160929t014610-20160929t014634-002277-003d71-002_coregistrated.tiff")
app.SetParameterString("insarmaster", "s1a-s4-slc-vv-20160818t014650-20160818t014715-012648-013db1-002_SLC.tiff")
app.SetParameterString("indem", "S21E055.hgt")
app.SetParameterString("incartmeanmaster", "CartesianMaster.tiff")
app.SetParameterString("ingrid", "./FineDeformation.tiff")
app.SetParameterFloat("gain", 0.1)
app.SetParameterString("out", "s1b-s1a-s4-RobustInterferogram.tiff")
app.ExecuteAndWriteOutput()
```
## Limitations
Only Sentinel 1 products are supported for now.