Results 61 to 70 of about 134 (95)

Identity of the putative serine-proteinase fold in proteins of the complement system with nine relevant crystal structures. [PDF]

Biochem J, 1993
Perkins SJ, Smith KF.
europepmc   +1 more source

L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review. [PDF]

Plants (Basel)
Ye Z, Long J, Zhang T, Lin B, Lin H.
europepmc   +1 more source

Thalamus-cortex interactions drive cell type-specific cortical development in human pluripotent stem cell-derived assembloids. [PDF]

Proc Natl Acad Sci U S A
Nishimura M, Adachi S, Kodera T, Sato AY, Takeuchi RF, Osakada F.   +5 more
europepmc   +1 more source

A Simple RVoG Test for PolInSAR Data [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015
In this paper, we present a simple algorithm for assessing the validity of the RVoG model for PolInSAR-based inversion techniques. This approach makes use of two important features characterizing a homogeneous random volume over a ground surface, i.e., the independence on polarization states of wave propagation through the volume and the structure of ...
Juan M López-Sánchez, J David Ballester-Berman, Fernando Vicente-Guijalba   +2 more
exaly   +3 more sources

Invariant Contrast Parameters of PolInSAR Homogenous RVoG Model [PDF]

IEEE Geoscience and Remote Sensing Letters, 2014
It has been shown that the Cramer-Rao bound (CRB) can be helpful to characterize vegetation and ground height estimations based on the homogenous random volume over ground (RVoG) model and polarimetric interferometric SAR techniques. However, this model is a function of 20 unknown parameters, which makes the performance analysis a tedious task. We show
Aurélien Arnaubec, Pascale Dubois-Fernandez, Philippe Refregier   +2 more
exaly   +3 more sources

Forest Height Inversion via RVoG Model and Its Uncertainties Analysis via Bayesian Framework—Comparisons of Different Wavelengths and Baselines

Forests, 2023
Accurate estimation of forest height over a large area is beneficial to reduce the uncertainty of forest carbon sink estimation, which is of great significance to the terrestrial carbon cycle, global climate change, forest resource management, and forest-related scientific research.
Yongjie Ji, , Han Zhao
exaly   +2 more sources

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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

Retrieval of Boreal Forest Heights Using an Improved Random Volume over Ground (RVoG) Model Based on Repeat-Pass Spaceborne Polarimetric SAR Interferometry: The Case Study of Saihanba, China [PDF]

Remote Sensing, 2021
Spaceborne polarimetric synthetic aperture radar interferometry (PolInSAR) has the potential to deal with large-scale forest height inversion. However, the inversion is influenced by strong temporal decorrelation interference resulting from a large temporal baseline.
Wenyi Fan, Ying Yu, Liu Zhihui
exaly   +3 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 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