#include <otbReciprocalHAlphaImageFilter.h>

Detailed Description

Evaluate the H-Alpha parameters from the reciprocal coherency matrix image.

To process, we diagonalise the complex coherency matrix (size 3*3). We call $ SortedEigenValues $ the list that contains the eigen values of the matrix sorted in decrease order. $ SortedEigenVector $ the corresponding list of eigen vector.

Use otb::ReciprocalHAlphaImageFilter to apply

Output value are:

channel #0 : $entropy = -\sum_{i=0}^{2}{p[i].\log{p[i]}} / \log{3}$
channel #1 : $\alpha = \sum_{i=0}^{2}{p[i].\alpha_{i}$
channel #2 : $anisotropy = \frac {SortedEigenValues[1] - SortedEigenValues[2]}{SortedEigenValues[1] + SortedEigenValues[2]}$

Where:

$p[i] = max(SortedEigenValues[i], 0) / \sum_{i=0}^{2, SortedEigenValues[i]>0}{SortedEigenValues[i]}$
$\alpha_{i} = \left| SortedEigenVector[i] \right|* \frac{180}{\pi}$

With,

$if \alpha_{i} > 90, \alpha_{i}=90$

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

otbReciprocalHAlphaImageFilter.h