OTB: CoherencyToReciprocalMuellerFunctor Class Reference

OTB 9.0.0

Orfeo Toolbox

#include <otbReciprocalCoherencyToReciprocalMuellerImageFilter.h>

Detailed Description

Evaluate the reciprocal Mueller matrix from the reciprocal coherency matrix image.

Outputs are:

channel #0 : $0.5*( C_{11}+C_{22}+C_{33} )$
channel #1 : $Re(C_{12}) + Im(C_{22})$
channel #2 : $Re(C_{13})$
channel #3 : $Im(C_{23})$
channel #4 : $Re(C_{12})$
channel #5 : $0.5*( C_{11}+C_{22}-C_{33} )$
channel #6 : $Re(C_{23})$
channel #7 : $Im(C_{13})$
channel #8 : $-Re(C_{13})$
channel #9 : $-Re(C_{23})$
channel #10 :
channel #11 :
channel #12 : $Im(C_{23})$
channel #13 : $Im(C_{13})$
channel #14 : $0.5.Im(VAL1^{*})$
channel #15 :

With: VAL0 = C_{33}+C_{12}-C_{11}-(C_{12}-C_{22})^{*} VAL1 = -C_{33}+C_{12}-C_{11}-(C_{12}-C_{22})^{*}

Where Coherency is the input pixel and contains:

channel #0 : $0.5*(S_{hh}+S_{vv}).(S_{hh}+S_{vv})^{*}$
channel #1 : $0.5*(S_{hh}+S_{vv}).(S_{hh}-S_{vv})^{*}$
channel #2 : $0.5*(S_{hh}+S_{vv}).(2*S_{hv})^{*}$
channel #3 : $0.5*(S_{hh}-S_{vv}).(S_{hh}-S_{vv})^{*}$
channel #4 : $0.5*(S_{hh}-S_{vv}).(2*S_{hv})^{*}$
channel #5 : $0.5*(2*S_{hv}).(2*S_{hv})^{*}$

The output pixel has 16 channels Element are stored from left to right, line by line.

Use otb::ReciprocalCoherencyToReciprocalMuellerImageFilter to apply it to an image.

The documentation for this class was generated from the following file:

otbReciprocalCoherencyToReciprocalMuellerImageFilter.h