DocumentCode
484254
Title
Reflectivity and DEM Estimation from Multi-baseline Complex SAR Signals
Author
Evangelista, Annarita ; Meglio, Federica ; Schirinzi, Gilda
Author_Institution
DAEIMI, Univ. di Cassino, Cassino
Volume
3
fYear
2008
fDate
7-11 July 2008
Abstract
Multi-baseline interferometric Synthetic Aperture Radar (In-SAR) systems are used to obtain increased accuracy Digital Elevation Model (DEM) of the observed ground scene. The techniques which are commonly used exploit only the interferometric phase information, and are based on Maximum Likelihood (ML) estimation. Due to the difficulty of express the multi-baseline likelihood function in closed form, they adopt the statistical independence approximation of the interferometric phases. In this paper we present a method exploiting both amplitude and phase of the interferometric images, and allowing to express the multi-baseline likelihood function in closed form. It has also the advantage of correctly performing multi-baseline speckle reduction on the image intensity.
Keywords
digital elevation models; geophysical techniques; maximum likelihood estimation; radar interferometry; remote sensing by radar; synthetic aperture radar; DEM estimation; Digital Elevation Model; In-SAR systems; Maximum Likelihood estimation; image intensity; interferometric Synthetic Aperture Radar; interferometric images; interferometric phase information; interferometric phases; multi-baseline likelihood function; multi-baseline speckle reduction; multivariate Gaussian signal model; observed ground scene; statistical independence approximation; Additive noise; Amplitude estimation; Layout; Maximum likelihood estimation; Noise level; Phase estimation; Pixel; Reflectivity; Speckle; Synthetic aperture radar interferometry; Synthetic aperture radar; multi-baseline interferometry; speckle reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779336
Filename
4779336
Link To Document