DocumentCode
966293
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
Volume
1
Issue
2
fYear
2004
fDate
4/1/2004 12:00:00 AM
Firstpage
66
Lastpage
70
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;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2003.822882
Filename
1291383
Link To Document