학술논문

Sub-Canopy Ground Localization from Multi-Baseline Pol-Insar Data in Forest Scenarios
Document Type
Conference
Source
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 IEEE International. :1077-1079 Jul, 2019
Subject
Aerospace
Geoscience
Signal Processing and Analysis
Forestry
Synthetic aperture radar
Estimation
Remote sensing
Scattering
L-band
Tomography
Forests
synthetic aperture radar (SAR)
polarimetric interferometry (Pol-InSAR)
ground scattering
Language
ISSN
2153-7003
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.