Results 21 to 30 of about 676 (126)
Urban Flood Detection Using TerraSAR-X and SAR Simulated Reflectivity Maps
Remote Sensing, 2022 Synthetic Aperture Radar (SAR) imagery is a vital tool for flood mapping due to its capability to acquire images day and night in almost any weather and to penetrate through cloud cover.
Shadi Sadat Baghermanesh +2 more
doaj +1 more source
A Simple RVoG Test for PolInSAR Data [PDF]
, 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 ...
Ballester-Berman, J. David +2 more
core +2 more sources
UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon
Earth and Space Science, Volume 7, Issue 10, October 2020., 2020 Abstract Polarimetric synthetic‐aperture radar (SAR) remote sensing has been widely used for structural and biophysical parameters retrieval of forest vegetation. It has been found that the combination of polarimetric properties and interferometric characteristics of SAR remote sensing provides the capacity to retrieve forest height.
Udit Asopa, Shashi Kumar
wiley +1 more source
Estimation of Equivalent Number of Looks in Time-Series Pol(In)SAR Data
Remote Sensing, 2020 As an essential parameter in synthetic aperture radar (SAR) images, the equivalent number of looks (ENL) not only indicates the speckle noise level in multi-look SAR data but also can be used for evaluating the region homogeneity level.
Peng Shen +4 more
doaj +1 more source
Retrieval of vegetation height in rice fields using polarimetric SAR interferometry with TanDEM-X data [PDF]
, 2017 This work presents for the first time a demonstration with satellite data of polarimetric SAR interferometry (PolInSAR) applied to the retrieval of vegetation height in rice fields.
Campos-Taberner, Manuel +4 more
core +2 more sources
PolInSAR Coherence and Entropy‐Based Hybrid Decomposition Model
Earth and Space Science, Volume 7, Issue 10, October 2020., 2020 Abstract Target characterization is an essential aspect of polarimetric decomposition. This technique is capable of categorizing polarimetric signatures for different types of targets based on the scattering mechanisms they follow, enabling straightforward physical interpretation of the targets.
Shahid Shuja Shafai, Shashi Kumar
wiley +1 more source
Structural parameter estimation of Australian flora with a ground-based polarimetric radar interferometer [PDF]
, 2006 Copyright © 2006 ...
Cloude, Shane Robert, Zhou, Zheng-Shu
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Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry [PDF]
, 2019 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Mallorquí Franquet, Jordi Joan +1 more
core +2 more sources
Parametric and non-parametric forest biomass estimation from PolInSAR data [PDF]
, 2011 Biomass estimation performance from model-based polarimetric SAR interferometry (PolInSAR) using generic parametric and non-parametric regression methods is evaluated at L- and P-band frequencies over boreal forest.
Fransson, J. E. S. +3 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In this article, five-component model-based decomposition methods of polarimetric synthetic aperture radar (PolSAR) (P5SD) and polarimetric synthetic aperture radar interferometry (PolInSAR) (PI5SD) using coupling scattering mechanisms are proposed.
Yu Wang, Weidong Yu, Wentao Hou
doaj +1 more source