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Analysis of Temporal Decorrelation in Dual-Baseline Polinsar Vegetation Parameter Estimation | IEEE Conference Publication | IEEE Xplore

Analysis of Temporal Decorrelation in Dual-Baseline Polinsar Vegetation Parameter Estimation


Abstract:

Vegetation parameters can be estimated using the single-baseline polarimetric synthetic aperture radar interferometry (POLinSAR) data based on the random volume over grou...Show More

Abstract:

Vegetation parameters can be estimated using the single-baseline polarimetric synthetic aperture radar interferometry (POLinSAR) data based on the random volume over ground (RVoG) model. Temporal decorrelation, which is the coherence loss due to scene changes within the time between radar data acquisitions, will decrease the estimation accuracy and needs to be compensated. The RVoG+VTD model is a simple model incorporating a temporal decorrelation term into the RVoG model. The inversion of RVoG+VTD model can not perform due to the limited number of single-baseline POLinSAR observables. Dual-baseline POLinSAR approach provides more observables and hence can be used to invert the model. This paper introduces and analyzes the dual-baseline inversion procedure of RVoG+VTD model and validates them using simulated data.
Date of Conference: 07-11 July 2008
Date Added to IEEE Xplore: 10 February 2009
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Conference Location: Boston, MA, USA

References

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