Title
Seven-Component Model-Based Decomposition for PolSAR Data with Sophisticated Scattering Models
Abstract
Due to incomprehensive and inaccurate scattering modeling, the state-of-the-art polarimetric synthetic aperture radar (PolSAR) model-based target decompositions are incapable of effectively depicting the scattering mechanism of obliquely oriented urban areas. In this paper, a seven-component model-based decomposition scheme is proposed by constructing several sophisticated scattering models. First, an eigenvalue-based obliquely-oriented dihedral scattering model is presented to reasonably distribute the co-polarization and cross-polarization scattering powers in obliquely oriented urban areas, thus accurately characterizing the urban scattering. Second, the +/- 45 degrees oriented dipole and +/- 45 degrees quarter-wave reflector scattering models are incorporated for the purpose of accounting for the real and imaginary components of the T-13 element in the coherency matrix so as to fully utilize polarimetric information. Finally, according to their mathematical forms, several strategies for model parameter solutions are designed, and the seven-component decomposition is fulfilled. Experimental results conducted on different PolSAR data demonstrate that the proposed method considerably improves the PolSAR scattering interpretation in a more physical manner compared to other existing model-based decomposition, which can be applied for urban area detection, classification, and other urban planning applications.
Year
DOI
Venue
2019
10.3390/rs11232802
REMOTE SENSING
Keywords
DocType
Volume
polarimetric synthetic aperture radar (PolSAR),seven-component model-based decomposition,obliquely oriented dihedral scattering model,+/- 45 degrees oriented dipole scattering model,+/- 45 degrees oriented quarter-wave reflector scattering model
Journal
11
Issue
Citations 
PageRank 
23
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Hui Fan100.68
Sinong Quan201.69
Dahai Dai395.29
XueSong Wang417132.83
ShunPing Xiao59521.88