2019•Unpublished venueRequires access

Sub-Canopy Ground Localization from Multi-Baseline Pol-Insar Data in Forest Scenarios

Matteo Pardini, Konstantinos Panagiotis Papathanassiou

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Abstract

The objective of this paper is to address the penetration capabilities of different synthetic aperture radar (SAR) frequencies in forest scenarios in terms of "visibility" of the ground. First, the ratio between the ground and the volume scattering powers is estimated from multi-baseline polarimetric interferometric (Pol-InSAR) data across different forest types. Afterwards, the resulting performance in the estimation of the ground height is characterized by comparing algorithms based on either the identification of the ground scatterer in tomographic profiles, or on the inversion of a model. This analysis is supported by experimental results obtained with multi-frequency, multibaseline Pol-InSAR data acquired by the DLR's E-/F-SAR airborne platforms over different forest types.

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What this paper is about

The objective of this paper is to address the penetration capabilities of different synthetic aperture radar (SAR) frequencies in forest scenarios in terms of "visibility" of the ground. First, the ratio between the ground and the volume scattering powers is estimated from multi-baseline polarimetric interferometric (Pol-InSAR) data across different forest types. Afterwards, the resulting performance in the estimation of the ground height is characterized by comparing algorithms based on either the identification of the ground scatterer in tomographic profiles, or on the inversion of a model. This analysis is supported by experimental results obtained with multi-frequency, multibaseline Pol-InSAR data acquired by the DLR's E-/F-SAR airborne platforms over different forest types.

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Available abstract

The objective of this paper is to address the penetration capabilities of different synthetic aperture radar (SAR) frequencies in forest scenarios in terms of "visibility" of the ground. First, the ratio between the ground and the volume scattering powers is estimated from multi-baseline polarimetric interferometric (Pol-InSAR) data across different forest types. Afterwards, the resulting performance in the estimation of the ground height is characterized by comparing algorithms based on either the identification of the ground scatterer in tomographic profiles, or on the inversion of a model. This analysis is supported by experimental results obtained with multi-frequency, multibaseline Pol-InSAR data acquired by the DLR's E-/F-SAR airborne platforms over different forest types.

Key concepts: Interferometric synthetic aperture radar, Remote sensing, Synthetic aperture radar, Polarimetry, Interferometry, Inversion (geology), Baseline (sea), Environmental science

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Sub-Canopy Ground Localization from Multi-Baseline Pol-Insar Data in Forest Scenarios — Research Paper | ScholarLens