Results 61 to 70 of about 113 (84)

Assessment and Estimation of the RVoG Model in Polarimetric SAR Interferometry

IEEE Transactions on Geoscience and Remote Sensing, 2014
This paper investigates the validity of the random-volume-over-ground (RVoG) scattering model assumption for forest scattering on polarimetric interferometric synthetic aperture radar (PolInSAR) data. The model makes some assumptions about the data and the structure of coherency matrices, namely, the equality of the polarimetric covariance matrices and
CARLOS Lopez-Martinez
exaly   +4 more sources

A study of the RVoG coherent scattering model validity in PolInSAR for forests studies

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
This work addresses the analysis of the validity of the Random-Volume-over-Ground scattering model for forests studies based on PolInSAR data. The analysis is based on the definition of a Generalized Likelihood Ratio Test that allows to test the model validity for all the pixels of the images and without any external information.
CARLOS Lopez-Martinez
exaly   +2 more sources

A Novel Registration Algorithm for Pol-InSAR Images Based on the RVOG Model

Applied Mechanics and Materials, 2012
In the processing of the polarimetric interferometric synthetic aperture radar (Pol-InSAR), the image registration is a key procedure. If the error of image registration occurs, the signal-to-noise ratio (SNR) of the interferometric image will be lowered and the precision of the height estimation will be decreased. Numerous registration algorithms have
Zheng Lu, Lu Zheng
exaly   +2 more sources

A new three-stage inversion procedure of forest height with the Improved Temporal Decorrelation RVoG model

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Forest parameters can be estimated using the single baseline polarimetric synthetic aperture radar interferometry (PolInSAR) data using the Random Volume over ground (RVoG) model. For a long-term temporal baseline, temporal decorrelation was present in all the polarimetric channels for the entire range of the synthetic aperture radar (SAR) data due to ...
Zhen Li 0001, Ming Guo
exaly   +2 more sources

Vegetation height fusion inversion algorithm based on RVoG model

Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023)
Xiaoqi Lu
exaly   +2 more sources

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