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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yamada, H. Yamaguchi, Y. Sato, R. |
| Copyright Year | 2008 |
| Description | Author affiliation: Fac. of Eng., Niigata Univ., Niigata (Yamada, H.; Yamaguchi, Y.; Sato, R.) |
| Abstract | This paper presents scattering model decomposition technique with Pol-InSAR datasets. The target model decomposition based on the scattering mechanisms corresponding to surface, double, and volume scattering, is one of the powerful tools to analyze and classify the ground surface conditions with fully polarimetric SAR data. However, we sometimes meet difficulty that the power of the decomposed component(s) becomes negative. This is caused by assumptions in the decomposition technique. When a Pol-InSAR dataset is available, additional observables can be obtained. These new observables will be available to resolve the difficulty of negative power in the conventional decomposition technique. In this paper, we consider the scattering model decomposition technique with Pol-InSAR data, and propose some modifications for the decomposition. |
| File Size | 274728 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4779725 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radar scattering Remote monitoring Image analysis Covariance matrix Matrix decomposition Data engineering Power engineering and energy Electronic mail Polarimetric synthetic aperture radar Shape ESPRIT algorithm Pol-InSAR scattering model decomposition Forest canopy volume scattering |
| Content Type | Text |
| Resource Type | Article |
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