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Multifrequency Analysis of PolInSAR-based Decomposition Using Cosine-Squared Distribution.
- Source :
-
IETE Technical Review . May/Jun2022, Vol. 39 Issue 3, p654-661. 8p. - Publication Year :
- 2022
-
Abstract
- Scattering identification ambiguity has significant effects in the polarimetric SAR (Synthetic Aperture Radar) decomposition and can be reduced by discriminating the permanent and time-varying features using PolInSAR (Polarimetric SAR Interferometry) coherence. PolInSAR based polarimetric decomposition using cosine-squared distribution (PCSD decomposition) is an algorithm that demonstrates the incorporation of PolInSAR coherence in the decomposition model by assuming the distribution of forest structure and vegetation as cosine-squared. This study presents a multifrequency analysis of PCSD decomposition to evaluate its potential to rightly represent the scatterer by reducing the identification ambiguity. The false-color composites (FCC) of PCSD decomposed images are presented to examine the results. A comparison study is also conducted between the PCSD decomposition and the Yamaguchi-4 component (Y4C) decomposition to demonstrate the improvement in the representation of the ground targets. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SYNTHETIC aperture radar
*FOREST plants
*INTERFEROMETRY
Subjects
Details
- Language :
- English
- ISSN :
- 02564602
- Volume :
- 39
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IETE Technical Review
- Publication Type :
- Academic Journal
- Accession number :
- 158288051
- Full Text :
- https://doi.org/10.1080/02564602.2021.1892542