DocumentCode :
484529
Title :
Polarimetric Scattering Model Decomposition for Pol-InSAR Data
Author :
Yamada, H. ; Yamaguchi, Y. ; Sato, R.
Author_Institution :
Fac. of Eng., Niigata Univ., Niigata
Volume :
4
fYear :
2008
fDate :
7-11 July 2008
Abstract :
This paper presents scattering model decomposition technique with Pol-InSAR datasets. The target model decomposition based on the scattering mechanisms corresponding to surface, double, and volume scattering, is one of the powerful tools to analyze and classify the ground surface conditions with fully polarimetric SAR data. However, we sometimes meet difficulty that the power of the decomposed component(s) becomes negative. This is caused by assumptions in the decomposition technique. When a Pol-InSAR dataset is available, additional observables can be obtained. These new observables will be available to resolve the difficulty of negative power in the conventional decomposition technique. In this paper, we consider the scattering model decomposition technique with Pol-InSAR data, and propose some modifications for the decomposition.
Keywords :
geophysical techniques; radar interferometry; radar polarimetry; radar signal processing; synthetic aperture radar; Pol-InSAR data; ground surface conditions; polarimetric scattering model decomposition; Covariance matrix; Data engineering; Electronic mail; Image analysis; Matrix decomposition; Polarimetric synthetic aperture radar; Power engineering and energy; Radar scattering; Remote monitoring; Shape; ESPRIT algorithm; Forest canopy; Pol-InSAR; scattering model decomposition; volume scattering;
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.2008.4779725
Filename :
4779725
Link To Document :
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