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A Simple RVoG Test for PolInSAR Data [PDF]

open access: yesIEEE 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 ...
Ballester-Berman, J. David   +2 more
core   +4 more sources

Effects of Motion Compensation Residual Error and Polarization Distortion on UAV-Borne PolInSAR

open access: yesRemote Sensing, 2021
Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) can improve interferometric coherence and phase quality, which has good application potential.
Zexin Lv, Fangfang Li, Xiaolan Qiu
exaly   +3 more sources

Improved forest biomass estimation based on P-band repeat-pass PolInSAR data across different forest sites

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2022
The upcoming BIOMASS mission will provide P-band repeat-pass PolInSAR data from space for the improved mapping of global biomass. PolInSAR technique has been widely validated with the potential to invert forest height and estimate forest aboveground ...
Zhanmang Liao, Binbin He
exaly   +3 more sources

Assessment of Polarimetric SAR Interferometry for Improving Ship Classification based on Simulated Data [PDF]

open access: yesSensors, 2008
This paper uses a complete and realistic SAR simulation processing chain, GRECOSAR, to study the potentialities of Polarimetric SAR Interferometry (POLInSAR) in the development of new classification methods for ships.
Jordi J. Mallorqui, Gerard Margarit
doaj   +2 more sources

Study on the simulation of simultaneous full AT-POLINSAR

open access: yesThe Journal of Engineering, 2019
With the maturity of the instantaneous full-polarisation measurement, the instantaneous full-polarimetric system is becoming an important development direction of the polarimetric synthetic aperture radar (POLSAR); however, as an important research ...
Peng Zhang   +5 more
doaj   +2 more sources

Spaceborne Multifrequency PolInSAR-Based Inversion Modelling for Forest Height Retrieval

open access: yesRemote Sensing, 2020
Spaceborne and airborne polarimetric synthetic-aperture radar interferometry (PolInSAR) data have been extensively used for forest parameter retrieval.
Shashi Kumar   +2 more
exaly   +3 more sources

Innovative Polarimetric Interferometric Synthetic Aperture Radar Land Cover Classification: Integrating Power, Polarimetric, and Interferometric Information for Higher Accuracy [PDF]

open access: yesSensors
The Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) system is a combination of polarimetric SAR and interferometric SAR, which can simultaneously obtain the power information, polarimetric information, and interferometric information of ...
Yifan Xu   +5 more
doaj   +2 more sources

A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives

open access: yesRemote Sensing, 2023
Forests cover approximately one-third of the Earth’s land surface and constitute the core region of the carbon cycle on Earth. The paramount importance and multi-purpose applications of forest monitoring have gained widespread recognition over recent ...
Cheng Xing   +2 more
exaly   +3 more sources

Forest Height Retrieval Based on the Dual PolInSAR Images

open access: yesRemote Sensing, 2022
A new algorithm for forest height estimation based on dual polarimetric interferometric SAR data is presented in this study. The main objective is to consider the efficiency of the dual-polarization data compared to the full polarimetric images with ...
Tayebe Managhebi   +2 more
doaj   +2 more sources

A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
This paper investigates the benefits of integrating multibaseline polarimetric interferometric SAR (PolInSAR) data with LiDAR measurements using a machine-learning approach in order to obtain improved forest canopy height estimates.
Maryam Pourshamsi   +2 more
exaly   +3 more sources

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