Title :
Maximum a posteriori estimation of height profiles in InSAR imaging
Author :
Ferraiuolo, Giancarlo ; Pascazio, Vito ; Schirinzi, Gilda
Author_Institution :
Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Univ. di Napoli "Federico II", Naples, Italy
fDate :
4/1/2004 12:00:00 AM
Abstract :
We present a statistical method to solve the height estimation problem in interferometric synthetic aperture radar (InSAR) applications. It is based on the use of multifrequency SAR raw datasets obtained by partitioning in subbands the available raw data spectrum, and on a Bayesian estimator using Markov random fields to model the a priori distribution of the unknown images. The method allows recovering topographic profiles affected by strong height discontinuities and allows to perform efficient noise rejections.
Keywords :
geophysical techniques; radar imaging; remote sensing by radar; statistical analysis; synthetic aperture radar; topography (Earth); Bayesian estimator; InSAR imaging; Markov random fields; interferometric synthetic aperture radar; multifrequency SAR; noise rejections; partitioning; posteriori estimation; priori distribution; statistical method; topographic profiles; Bayesian methods; Image reconstruction; Lattices; Markov random fields; Maximum a posteriori estimation; Maximum likelihood estimation; Radar imaging; Statistical analysis; Synthetic aperture radar; Synthetic aperture radar interferometry;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2003.822882
