Title :
InSAR coherence estimation for temporal analysis and phase unwrapping applications
Author :
Abdelfattah, R. ; Nicolas, J.-M. ; Tupin, F. ; Badredine, B.
Author_Institution :
Departement Traitement du Signal et des Images, Ecole Nationale Superieure des Telecommun., Paris, France
Abstract :
In SAR interferometry, coherence between data acquisitions is potential information on the accuracy of interferograms. In this paper, a new coherence estimation approach is investigated. Our study is based on a binary mixture modelisation of coherence images. A Bayesian criteria is so used to discriminate between the two statistical mixed laws. It is shown that empirical coherence is biased and depends on the number of pixels averaged. The results of this paper can be applied to the estimation of the interferogram noise in interferometric SAR
Keywords :
Bayes methods; coherence; estimation theory; noise; radar imaging; radiowave interferometry; synthetic aperture radar; Bayesian criteria; InSAR coherence estimation; SAR interferometry; binary mixture modelisation; coherence images; interferogram noise; phase unwrapping applications; statistical mixed laws; temporal analysis; Coherence; Data acquisition; Dissolved gas analysis; Equations; Image analysis; Phase estimation; Probability density function; Signal analysis; Statistics; Synthetic aperture radar interferometry;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.977979
