This applications allows converting classical polarimetric matrices to each other.
This application allows converting classical polarimetric matrices to each other.
For instance, it is possible to get the coherency matrix from the Sinclar one, or the Mueller matrix from the
coherency one.
The filters used in this application never handle matrices, but images where each band is related to their
elements.
As most of the time SAR polarimetry handles symetric/hermitian matrices, only the relevant elements are
stored, so that the images representing them have a minimal number of bands.
For instance, the coherency matrix size is 3x3 in the monostatic case, and 4x4 in the bistatic case : it will
thus be stored in a 6-band or a 10-band complex image (the diagonal and the upper elements of the
matrix).
The Sinclair matrix is a special case : it is always represented as 3 or 4 one-band complex images (for
mono- or bistatic case).
The available conversions are listed below:
— Monostatic case —
1 msinclairtocoherency –>Sinclair matrix to coherency matrix (input : 3 x 1 complex channel (HH, HV or
VH, VV) — output : 6 complex channels)
2 msinclairtocovariance –>Sinclair matrix to covariance matrix (input : 3 x 1 complex channel (HH, HV or
VH, VV) — output : 6 complex channels)
3 msinclairtocircovariance –>Sinclair matrix to circular covariance matrix (input : 3 x 1 complex channel
(HH, HV or VH, VV) — output : 6 complex channels)
4 mcoherencytomueller –>Coherency matrix to Mueller matrix (input : 6 complex channels — 16 real
channels)
5 mcovariancetocoherencydegree –>Covariance matrix to coherency degree (input : 6 complex channels —
3 complex channels)
6 mcovariancetocoherency –>Covariance matrix to coherency matrix (input : 6 complex channels — 6
complex channels)
7 mlinearcovariancetocircularcovariance –>Covariance matrix to circular covariance matrix (input : 6
complex channels — output : 6 complex channels)
— Bistatic case —
8 bsinclairtocoherency –>Sinclair matrix to coherency matrix (input : 4 x 1 complex channel (HH, HV, VH,
VV) — 10 complex channels)
9 bsinclairtocovariance –>Sinclair matrix to covariance matrix (input : 4 x 1 complex channel (HH, HV,
VH, VV) — output : 10 complex channels)
10 bsinclairtocircovariance –>Sinclair matrix to circular covariance matrix (input : 4 x 1 complex channel
(HH, HV, VH, VV) — output : 10 complex channels)
— Both cases —
11 sinclairtomueller –>Sinclair matrix to Mueller matrix (input : 4 x 1 complex channel (HH, HV, VH,
VV) — output : 16 real channels)
12 muellertomcovariance –>Mueller matrix to covariance matrix (input : 16 real channels — output : 6
complex channels)
13 muellertopoldegandpower –>Mueller matrix to polarization degree and power (input : 16 real channels
— output : 4 real channels)
This section describes in details the parameters available for this application. Table 4.174, page 845 presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is SARPolarMatrixConvert.
Parameter key | Parameter type |
Parameter description |
inc | Input image |
Input : multi-band complex image |
inf | Input image |
Input : multi-band real image |
inhh | Input image |
Input : one-band complex image (HH) |
inhv | Input image |
Input : one-band complex image (HV) |
invh | Input image |
Input : one-band complex image (VH) |
invv | Input image |
Input : one-band complex image (VV) |
outc | Output image |
Output Complex Image |
outf | Output image |
Output Real Image |
conv | Choices |
Conversion |
conv msinclairtocoherency | Choice |
1 Monostatic : Sinclair matrix to coherency matrix (complex output) |
conv msinclairtocovariance | Choice |
2 Monostatic : Sinclair matrix to covariance matrix (complex output) |
conv msinclairtocircovariance | Choice |
3 Monostatic : Sinclair matrix to circular covariance matrix (complex output) |
conv mcoherencytomueller | Choice |
4 Monostatic : Coherency matrix to Mueller matrix |
conv mcovariancetocoherencydegree | Choice |
5 Monostatic : Covariance matrix to coherency degree |
conv mcovariancetocoherency | Choice |
6 Monostatic : Covariance matrix to coherency matrix (complex output) |
conv mlinearcovariancetocircularcovariance | Choice |
7 Monostatic : Covariance matrix to circular covariance matrix (complex output) |
conv muellertomcovariance | Choice |
8 Bi/mono : Mueller matrix to monostatic covariance matrix |
conv bsinclairtocoherency | Choice |
9 Bistatic : Sinclair matrix to coherency matrix (complex output) |
conv bsinclairtocovariance | Choice |
10 Bistatic : Sinclair matrix to covariance matrix (complex output) |
conv bsinclairtocircovariance | Choice |
11 Bistatic : Sinclair matrix to circular covariance matrix (complex output) |
|
||
conv sinclairtomueller | Choice |
12 Bi/mono : Sinclair matrix to Mueller matrix |
conv muellertopoldegandpower | Choice |
13 Bi/mono : Mueller matrix to polarisation degree and power |
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 |
|
||
|
||
|
||
|
||
|
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: