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Remote Sens. 2017, 9(4), 363; doi:10.3390/rs9040363

Underlying Topography Estimation over Forest Areas Using High-Resolution P-Band Single-Baseline PolInSAR Data

School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
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Received: 19 February 2017 / Revised: 26 March 2017 / Accepted: 9 April 2017 / Published: 12 April 2017
(This article belongs to the Special Issue Calibration and Validation of Synthetic Aperture Radar)
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Abstract

This paper discusses the potential and limitations of high-resolution P-band polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR) in underlying topography estimation over forest areas. Time-frequency (TF) analysis in the azimuth direction is utilized to separate the ground scattering contribution from the total PolInSAR signal, without the use of any physical model, because the P-band PolInSAR data have a significant penetration depth and sufficient observation angle interval. To achieve this goal, a one-dimensional polynomial fitting (PF) method is proposed for correcting the residual motion error (RME). The Krycklan catchment test site, which is covered with pine forest, was selected to test the performance of the digital elevation model (DEM) inversion. The results show that the PF method can correct the RMEs for the sub-look interferograms well. When compared to the existing line-fit method, the TF+PF method can provide a more accurate DEM (the accuracy is improved by 26.9%). Moreover, the performance of the DEM inversion is free from the random-volume-over-ground assumption. View Full-Text
Keywords: P-band PolInSAR; time-frequency decomposition; digital elevation model; RVoG model; residual motion error P-band PolInSAR; time-frequency decomposition; digital elevation model; RVoG model; residual motion error
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Fu, H.; Zhu, J.; Wang, C.; Wang, H.; Zhao, R. Underlying Topography Estimation over Forest Areas Using High-Resolution P-Band Single-Baseline PolInSAR Data. Remote Sens. 2017, 9, 363.

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