DocumentCode
3534465
Title
Scattering component decomposition for POL-InSAR dataset and its applications
Author
Yamada, H. ; Komaya, R. ; Yamaguchi, Y. ; Sato, R.
Author_Institution
Grad. Sch. of Sci. & Eng., Niigata Univ., Niigata, Japan
Volume
5
fYear
2009
fDate
12-17 July 2009
Abstract
The three-component scattering model decomposition based on the scattering mechanisms corresponding to single-bounce, double-bounce, and volume scattering, is one of the powerful tools to classify terrain for fully polarimetric SAR data. However, the conventional scattering component decomposition technique with POLSAR image requires several assumptions to obtain a unique solution. This paper presents scattering component decomposition technique with Pol-InSAR image pair. The proposed technique based on the ESPRIT can decompose without any assumptions when a suitable set of candidates for volume scattering covariance matrix is prepared. In this report, we show the concept of the proposed method with the POL-InSAR image pair and the role of the ESPRIT in the volume scattering estimation. Experimental results of SIR-C/X-SAR are also provided as an example.
Keywords
radar imaging; radar interferometry; radar polarimetry; scattering; synthetic aperture radar; terrain mapping; ESPRIT; POLSAR image; Pol-InSAR dataset; SIR-C/X-SAR; covariance matrix; double bounce; fully polarimetric SAR data; scattering component decomposition technique; scattering mechanisms; single bounce; terrain classification; three-component scattering model decomposition; volume scattering; Covariance matrix; Data engineering; Electronic mail; Image analysis; Pixel; Polarimetric synthetic aperture radar; Power engineering and energy; Radar scattering; Remote monitoring; Shape; 3-component scattering model decomposition; ESPRIT; Forest; POL-InSAR; volume scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417710
Filename
5417710
Link To Document