Title | A unified model for decomposition of coherent and partially coherent target scattering using polarimetric SARs |
Download | Downloads |
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Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
Author | Touzi, R |
Source | IGARSS 2005: proceedings; vol. 7, 2005 p. 4844-4847 |
Year | 2005 |
Alt Series | Earth Sciences Sector, Contribution Series 2005133 |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (Piscataway, NJ, USA) |
Meeting | IGARSS 2005 - IEEE International Geoscience and Remote Sensing Symposium; Seoul; KR; July 25-29, 2005 |
Document | book |
Lang. | English |
Media | paper; on-line; digital |
File format | pdf |
Subjects | remote sensing; models; statistical methods; Data processing |
Illustrations | remote sensing images; graphs |
Program | Geomatics for Sustainable Development of Natural
Resources |
Released | 2005 01 01 |
Abstract | The target scattering vector model (TSVM) introduced in [1] is reconsidered for a unified decomposition of coherent and partially coherent target scattering. The model, which is robust under change of
antenna polarization basis, permits a unique representation of target coherent scattering in term of five parameters that are target characteristics. The TSVM is integrated in Cloude's incoherent decomposition method (ICTD) to derive the TSVM-ICTD,
which permits a unique and basis invariant decomposition of natural extended target scattering. It is shown that both phase and magnitude of the complex scattering type should be used for an unambiguous description of symmetric scattering
type. The use of the TSVM helicity angle is important for the characterization of the symmetric nature of target scattering. This parameter permits solving for certain scattering type ambiguities that might occur with Cloude parameter with
targets of non-symmetric scattering. Speckle effect on the TSVM parameter estimation is also discussed. It is shown that the TSVM parameters, and in particular the symmetric scattering type, can be significantly biased. The statistics of the
coherence are used to determine the minimum window size required for an unbiased estimation of the TSVM decomposition parameters. |
GEOSCAN ID | 220749 |
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