Abstract | ||
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In this study, the usability of the co-polarization correlation coefficients of polarimetric SAR data for characterization of terrain types in the natural and urban areas has been investigated. The co-polarization coherence signature plot and the co-polarization phase correlation plot, which display the correlation coefficients as a function of the polarization state, are introduced with the unitary basis transformation of the polarimetric covariance matrix. Experimental results indicate that the co-polarization coherence signatures can be an effective way to characterize terrain scatter types. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/IGARSS.2013.6723288 | IGARSS |
Keywords | Field | DocType |
terrain mapping,synthetic aperture radar,copolarization coherence signature plot,terrain scatter types,scatter type discrimination,covariance matrices,sar polarimetry,remote sensing by radar,polarimetric sar data,copolarization correlation coefficients,polarimetric covariance matrix,co-polarization correlation coefficients,copolarization phase correlation plot,radar polarimetry,rough surfaces,surface roughness,correlation,frequency modulation,matrix decomposition,indexes | Computer vision,Polarimetry,Synthetic aperture radar,Computer science,Remote sensing,Terrain,Polarization (waves),Inverse synthetic aperture radar,Coherence (physics),Artificial intelligence,Covariance matrix,Phase correlation | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4799-1114-1 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sang-Eun Park | 1 | 201 | 24.33 |
Yoshio Yamaguchi | 2 | 246 | 49.57 |
Ryoichi Sato | 3 | 59 | 13.46 |
Hiroyoshi Yamada | 4 | 161 | 36.65 |