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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yamada, H. Komaya, R. Yamaguchi, Y. Sato, R. |
| Copyright Year | 2010 |
| Description | Author affiliation: Faculty of Education, Niigata University, Nishi-ku, 950-2181, Japan (Sato, R.) || Graduate School of Science and Engineering, Niigata University, Nishi-ku, 950-2181, Japan (Yamada, H.; Komaya, R.; Yamaguchi, Y.) |
| Abstract | The scattering power decomposition for POLSAR data is one of the powerful tools in the radar polarimetry. There are several model-based decomposition techniques. However, since the number of independent observables in POLSAR images is limited, these techniques require several assumptions to obtain unique solution. The authors have proposed an alternative technique with POL-InSAR dataset. By using the POL-InSAR dataset, we can increase the number of observables. However, selection of volume scattering component was still a problem. Recently, Dr. Arii et. al., proposed a generalized volume scattering model, and applied it to the POLSAR dataset with the adaptive non-negative eigenvalue decomposition technique. In this report, we appy the model to the ESPRIT-based POL-InSAR decomposition technique and verify the estimation performance experimentally. |
| Starting Page | 3255 |
| Ending Page | 3258 |
| File Size | 250214 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424495658 |
| ISSN | 21537003 |
| e-ISBN | 9781424495665 |
| e-ISBN | 9781424495641 |
| DOI | 10.1109/IGARSS.2010.5651248 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Scattering Covariance matrix Matrix decomposition Solid modeling Estimation Eigenvalues and eigenfunctions Adaptation model ESPRIT algorithm POL-InSAR Model based decomposition volume scattering model |
| Content Type | Text |
| Resource Type | Article |
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