DocumentCode
1316390
Title
Four-Component Scattering Power Decomposition With Extended Volume Scattering Model
Author
Sato, Akinobu ; Yamaguchi, Yoshio ; Singh, Gulab ; Park, Sang-Eun
Author_Institution
Grad. Sch. of Sci. & Technol., Niigata Univ., Niigata, Japan
Volume
9
Issue
2
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
166
Lastpage
170
Abstract
In the three- or four-component decompositions, polarimetric scattering properties and corresponding physical scattering models play essential roles for power decomposition. This letter proposes an improved four-component scattering power decomposition method that employs a suitable volume scattering model for single- or double-bounce scattering in the polarimetric synthetic aperture radar image analysis. The cross-polarized HV component is created by both single-bounce object (such as vegetation) and double-bounce structures (such as oriented building blocks). It has been difficult to discriminate these two objects (vegetation against oriented buildings) in the decomposed images since the HV component is assigned to the volume scattering due to vegetation only. We propose to extend the volume scattering model suited for two physical scattering models. It is shown that a vegetation area and an oriented urban building area are well discriminated compared to those resulting from the implementation of the existing four-component scattering power decomposition.
Keywords
electromagnetic wave polarisation; electromagnetic wave scattering; geophysical image processing; image classification; radar imaging; radar polarimetry; synthetic aperture radar; cross-polarized HV component; image decomposition; physical scattering models; polarimetric scattering; radar image analysis; radar polarimetry; scattering power decomposition; synthetic aperture radar; urban building; volume scattering model; Matrix decomposition; Radar; Remote sensing; Scattering; Solid modeling; Urban areas; Vegetation mapping; Polarimetric synthetic aperture radar (SAR) (POLSAR); radar polarimetry; scattering power decomposition; volume scattering;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2011.2162935
Filename
6012514
Link To Document