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Vegetation modelling for height inversion using InSAR/Pol-InSAR data.
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007The random volume over ground model has been extensively used for forest height inversion using Pol-InSAR data. Two different forest models are proposed to better represent the forest structure for height inversion using Pol-InSAR. The first one takes into account a vertically varying mean extinction coefficient and the second one considers ...
Garestier, Franck, Le Toan, Thuy
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A New Model for P-Band Pol-InSAR Based on Gamma Distribution
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018This work proposes a forest model based on Gamma distribution to better describe the forest vertical structure for height inversion using P-band polarimetric synthetic aperture radar interferometry (Pol-InSAR) data. The proposed model takes into account the forest vertical heterogeneity and asymmetry, to which volume interferometric coherence is ...
Xiaofan Sun +5 more
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Volume structure characterisation by means of multi-baseline Pol-InSAR: Status and challenges
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Polarimetric SAR Interferometry (Pol-InSAR) is a SAR remote sensing discipline with unique and powerful applications related to the vertical structure of natural and man-made volume scatterers. The coherent combination of single- or multi-baseline interferograms acquired at different polarisations provides sensitivity to the vertical distribution of ...
Konstantinos Papathanassiou +2 more
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Forest Height Estimation by Means of Pol-InSAR Data Inversion: The Role of the Vertical Wavenumber
IEEE Transactions on Geoscience and Remote Sensing, 2015Florian Kugler +2 more
exaly
Coherence feature modelling for single-baseline Pol-InSAR
IET Conference ProceedingsXiaofan Sun, Shuai Jiang, Chong Song
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