Title :
A new method based on X-Bragg model for target characterization and its application to forest/nonforest discrimination
Author :
Junjun Yin ; Zheng-Shu Zhou ; Caccetta, Peter A. ; Yang, Jian
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
Polarization ratio and co-polarized phase information are very important for polarimetric synthetic aperture radar (SAR) image interpretation, especially in the area where a single scattering mechanism is dominant. In this study, a new method including both the parameters for scattering characterization is proposed based on the extended Bragg scattering (X-Bragg) model. The theoretical analysis, which is based on the first-order Bragg scattering and the dihedral scattering models, is consistent with the demonstration of real polarimetric SAR data. The proposed method is evaluated on the entropy/alpha plane, showing its promise for distinguishing between different target scatterings. In experiment, L-band ALOS/PALSAR fully polarimetric data over Tasmania, Australia are used for illustrating the effectiveness of this method for forest/nonforest discrimination. Results from Cloude-Pottier´s decomposition theorem are also given for comparison.
Keywords :
geophysical techniques; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; Australia; Cloude-Pottier decomposition theorem; L-band ALOS-PalSAR fully polarimetric data; Tasmania; X-BRAGG model; co-polarized phase information; dihedral scattering models; entropy-alpha plane; extended Bragg scattering model; first-order Bragg scattering; forest-nonforest discrimination; polarimetric SAR image interpretation; polarization ratio; single scattering mechanism; synthetic aperture radar; target characterization; Abstracts; Anisotropic magnetoresistance; Matrix decomposition; Noise measurement; Parameter extraction; Polarimetry; Scattering; X-Bragg model; classification; radar polarimetry; synthetic aperture radar (SAR); target characterization;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723500