Paper Info
Title
New method for polarimetric SAR scattering mechanism classification
Abstract
Scattering mechanism identification is an important issue in polarimetric SAR imagery. In this study, we propose a new method for target scattering mechanism classification for the first time. Based on several typical scattering models, including the X-Bragg scattering model, Fresnel reflection model, and volume scattering models, a new polarimetric scattering classification diagram is proposed. It consists of two parameters, i.e., the Bragg alpha angle and a new parameter which is proposed for the first time and can be used to represent backscattering randomness. Results are demonstrated and validated on RADARSAT-2 data of the San Francisco area to illustrate its effectiveness.
Year
DOI
Venue
2015
10.1109/IGARSS.2015.7326645
IGARSS
Keywords
Field
DocType
Polarimetric synthetic aperture radar (SAR), physical scattering mechanism (PSM), unsupervised classification
Radar imaging,Polarimetry,Computer science,Synthetic aperture radar,Backscatter,Remote sensing,Fresnel equations,Inverse synthetic aperture radar,Scattering,Randomness
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Junjun Yin13211.12
Wooil M. Moon212919.10
Jian Yang332.16