Public Member Functions
void	operator() (TOutput &result, const TInput &Covariance) const

constexpr vcl_size_t	OutputSize (...) const

Detailed Description

Evaluate the Coherency matrix from the Covariance image.

Output value are:

channel #0 : $0.5 . (C33 + C13 + C13^{*} + C11)$
channel #1 : $0.5 . (-C33 - C13 + C13^{*} + C11)$
channel #2 : $0.5 . (\sqrt{2}.C12 + \sqrt{2}.C23^{*})$
channel #3 : $0.5 . (C33 - C13 - C13^{*} + C11$ )
channel #4 : $0.5 . (\sqrt{2}.C12 - \sqrt{2}.C23^{*})$
channel #5 :

The output pixel has 6 channels : the diagonal and the upper element of the reciprocal matrix. Element are stored from left to right, line by line.

Use otbReciprocalCovarianceToReciprocalCoherencyImageFilter to apply it to an image.

See also: CovarianceToCircularCoherencyDegreeImageFilter; ReciprocalCovarianceToReciprocalCoherencyDegreeImageFilter

Member Typedef Documentation

template<class TInput , class TOutput >

template<class TInput , class TOutput >

template<class TInput , class TOutput >

void otb::Functor::ReciprocalCovarianceToReciprocalCoherencyFunctor< TInput, TOutput >::operator()	(	TOutput &	result,
		const TInput &	Covariance
	)		const

inline

template<class TInput , class TOutput >

constexpr vcl_size_t otb::Functor::ReciprocalCovarianceToReciprocalCoherencyFunctor< TInput, TOutput >::OutputSize ( ... ) const

inlineconstexpr

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