Title :
Polarimetric and structural properties of forest scenarios as imaged by longer wavelength SARS
Author :
Tebaldini, Stefano ; D´Alessandro, Mauro Mariotti ; Guarnieri, Andrea Monti ; Rocca, Fabio
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milano, Italy
Abstract :
SAR data gathered from forested areas collect contributions coming from the vegetation layer, from the ground below and from other scattering mechanisms (SMs). Multi-baseline data allow a tomographic analysis thus retrieving information about the vertical structure of the target. Multi-polarimetric acquisitions enrich the data, providing ways to identify the targets basing on their electromagnetic properties. The joint exploitation of multi-polarimetric and multi-baseline data suggests the possibility of linking the estimation of the vertical structure of different SMs with their polarimetric signature. A formal framework in which this task can be accomplished is provided by the Algebraic Synthesis (AS) technique, which extends the concepts within PolInSAR through the assumption of the Sum of Kronecker Products (SKP) structure. By assuming the presence of two SMs (for example ground and volume scattering), the SKP assumption leads to a cross dependence between the polarimetric and interferometric coherences, in that ground structure is shown to be related to volume polarimetry, and dually volume structure is shown to be related to ground polarimetry. The aim of this paper is to investigate the implications of this cross relation. Experimental results will be shown basing on a data-set of multi-polarimetric and multi-baseline SAR images at P-band acquired by DLR´s E-SAR over the Krycklan catchment, in northern Sweden, in the framework of the ESA campaign BioSAR 2008.
Keywords :
forestry; geophysical signal processing; radar interferometry; radar polarimetry; radar signal processing; remote sensing by radar; synthetic aperture radar; BioSAR ESA campaign; DLR E-SAR; Krycklan catchment; P-band SAR images; SAR data; SKP assumption; algebraic synthesis technique; forest scenario polarimetric properties; forest scenario structural properties; interferometric coherence; long wavelength SARS; multibaseline SAR images; multibaseline data; multipolarimetric SAR images; multipolarimetric acquisitions; northern Sweden; polarimetric coherence; scattering mechanisms; sum of Kronecker products; target vertical structure; tomographic analysis; vegetation layer; Covariance matrix; Entropy; Geoscience and remote sensing; Matrix decomposition; Polarimetry; Scattering; Tomography;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5651284