Title
Four-Component Scattering Power Decomposition With Extended Volume Scattering Model
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.
Year
DOI
Venue
2012
10.1109/LGRS.2011.2162935
Geoscience and Remote Sensing Letters, IEEE
Keywords
Field
DocType
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,Polarimetric synthetic aperture radar (SAR) (POLSAR),radar polarimetry,scattering power decomposition,volume scattering
Radar,Radar imaging,Polarimetry,Synthetic aperture radar,Matrix decomposition,Remote sensing,Decomposition method (constraint satisfaction),Scattering,Solid modeling,Mathematics
Journal
Volume
Issue
ISSN
9
2
1545-598X
Citations 
PageRank 
References 
34
1.93
5
Authors
4
Name
Order
Citations
PageRank
Akinobu Sato1352.34
Yoshio Yamaguchi224649.57
Gulab Singh313520.16
Sang-Eun Park420124.33