Accuracy improvement method of forest height estimation for PolInSARImage

Polarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique, that allows to extract forest heights by means of model-based inversion. Recently, there have been plenty of research on the retrieval of vegetation parameters by single frequency single baseline PolInSAR such as the ES...

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Bibliographic Details
Published in2012 International Conference on Audio, Language and Image Processing pp. 594 - 598
Main Authors Nghia Pham Minh, Bin Zou, Da Lu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2012
Subjects
Accuracy
Coherence
coherence amplitude method
ESPRIT
Estimation
forest height estimation
Interferometry
Least squares approximation
PolInSAR
Synthetic aperture radar
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Summary:Polarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique, that allows to extract forest heights by means of model-based inversion. Recently, there have been plenty of research on the retrieval of vegetation parameters by single frequency single baseline PolInSAR such as the ESPRIT method, three-stage inversion. However, these methods tend to underestimate the forest height due to attenutation of the electromagnetic waves in the ground medium. This paper proposes a method to improve the accuracy of forest height estimation. This method is based on a fusion of hybrid method extracting forest parameters and the coherence amplitude method. Finally, the simulated PolInSAR data are used to validate the proposed method.
ISBN:1467301736
9781467301732
DOI:10.1109/ICALIP.2012.6376686