InSAR coherence optimisation using second kind statistics

We present an optimization of the estimated interferometric synthetic aperture radar (InSAR) coherence, that we had presented in IGARSS´01, which is based on a binary mixture modelisation of the coherence images. The proposed approach is based on a second kind statistics defined as the Mellin-transform of its probability density function (pdf). The Mellin transform of coherence pdf is then computed analytically. It will serve for interferogram parameters estimation by zone growing. Results are validated on a test zone of highly energetic relief (Mustang).