Interferometry (Pol-InSAR) is a radar remote sensing technique, based on the coherent combination of radar polarimetry (Pol-SAR) and SAR interferometry (InSAR) which is substantially more sensitive to structural parameters of forest volume scatterers (e.g. forest) than conventional interferometry or polarimetry alone. However, temporal decorrelation is probably the most critical factor towards a successful implementation of Pol-InSAR parameter inversion techniques in terms of repeat-pass InSAR scenarios. This report focuses on the quantification of the effect of temporal decorrelation at L-band as a function of temporal baseline based on multi-temporal airborne experimental data acquired in the frame of dedicated air-borne experiments. Conc...
Polarimetric SAR Interferometry (Pol-InSAR) is a SAR remote sensing discipline with unique and power...
This paper proposes an improved model-based forest height inversion method for airborne L-band dual-...
Temporal decorrelation is the most critical issue for the successful inversion of Polarimetric SAR I...
Polarimetric Synthetic Aperture Radar (SAR) Interferometry (Pol-InSAR) is a radar remote sensing tec...
While polarimetric SAR interferometry (Pol-InSAR) techniques are today well established, a critical ...
We review our recent advances in understanding the role of temporal decorrelation in SAR interferome...
This presentation addresses the potential and limitations of Pol-InSAR inversion techniques for quan...
Abstract—This paper addresses the potential and limitations of polarimetric synthetic aperture radar...
Many applications require bare-earth Digital Terrain Models (DTMs) in the presence of forest canopy....
While polarimetric SAR interferometry (Pol-InSAR) techniques are today well established, a critical ...
Polarimetric SAR interferometry (Pol-InSAR) is a new radar technology that allows us to investigate ...
This paper proposes a new method for forest height estimation using single-baseline single frequency...
The estimation of forest height in X-band using Random-Volume-over-Ground model has been demonstrate...
The estimation of forest height in X-band using Random-Volume-over-Ground model has been demonstrate...
This paper proposes a new method for forest height estimation using single-baseline single frequency...
Polarimetric SAR Interferometry (Pol-InSAR) is a SAR remote sensing discipline with unique and power...
This paper proposes an improved model-based forest height inversion method for airborne L-band dual-...
Temporal decorrelation is the most critical issue for the successful inversion of Polarimetric SAR I...
Polarimetric Synthetic Aperture Radar (SAR) Interferometry (Pol-InSAR) is a radar remote sensing tec...
While polarimetric SAR interferometry (Pol-InSAR) techniques are today well established, a critical ...
We review our recent advances in understanding the role of temporal decorrelation in SAR interferome...
This presentation addresses the potential and limitations of Pol-InSAR inversion techniques for quan...
Abstract—This paper addresses the potential and limitations of polarimetric synthetic aperture radar...
Many applications require bare-earth Digital Terrain Models (DTMs) in the presence of forest canopy....
While polarimetric SAR interferometry (Pol-InSAR) techniques are today well established, a critical ...
Polarimetric SAR interferometry (Pol-InSAR) is a new radar technology that allows us to investigate ...
This paper proposes a new method for forest height estimation using single-baseline single frequency...
The estimation of forest height in X-band using Random-Volume-over-Ground model has been demonstrate...
The estimation of forest height in X-band using Random-Volume-over-Ground model has been demonstrate...
This paper proposes a new method for forest height estimation using single-baseline single frequency...
Polarimetric SAR Interferometry (Pol-InSAR) is a SAR remote sensing discipline with unique and power...
This paper proposes an improved model-based forest height inversion method for airborne L-band dual-...
Temporal decorrelation is the most critical issue for the successful inversion of Polarimetric SAR I...