Modified Hybrid FreemanEigenvalue Decomposition for Polarimetric SAR Data
Joint Authors
Zhang, Shuang
Wang, Shuang
Chen, Bo
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Because of the rapid advancement of the airborne sensors and spaceborne sensors, large volumes of fully polarimetric synthetic aperture radar (PolSAR) data are available, but they are too complex to interpret difficultly.
In this paper, a modified hybrid Freeman/eigenvalue decomposition method for the coherency matrix derived from the fully PolSAR sensors is proposed.
The proposed modified hybrid Freeman/eigenvalue decomposition uses a real unitary transformation on the coherency matrix to release correlations between the copolarized term and cross polarized term, and the scattering models are derived from eigenvectors of the coherency matrix with reflection symmetry condition.
The anisotropy and entropy are used to determine whether the volume scattering component is derived from the man-made structures or not.
Moreover, the scattering powers from the proposed hybrid Freeman/eigenvalue decomposition are all nonnegative values.
Fully PolSAR data on San Francisco acquired by AIRSAR sensor are used in the experiments to prove the efficacy of the proposed decomposition.
American Psychological Association (APA)
Zhang, Shuang& Wang, Shuang& Chen, Bo. 2015. Modified Hybrid FreemanEigenvalue Decomposition for Polarimetric SAR Data. Journal of Sensors،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1070070
Modern Language Association (MLA)
Zhang, Shuang…[et al.]. Modified Hybrid FreemanEigenvalue Decomposition for Polarimetric SAR Data. Journal of Sensors No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1070070
American Medical Association (AMA)
Zhang, Shuang& Wang, Shuang& Chen, Bo. Modified Hybrid FreemanEigenvalue Decomposition for Polarimetric SAR Data. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1070070
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070070