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Appl. Sci. 2017, 7(5), 435; doi:10.3390/app7050435

A TSVD-Based Method for Forest Height Inversion from Single-Baseline PolInSAR Data

School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
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Author to whom correspondence should be addressed.
Academic Editors: Carlos López-Martínez and Juan Manuel Lopez-Sanchez
Received: 28 January 2017 / Revised: 20 April 2017 / Accepted: 21 April 2017 / Published: 25 April 2017
(This article belongs to the Special Issue Polarimetric SAR Techniques and Applications)
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Abstract

The random volume over ground (RVoG) model associates vegetation vertical structure parameters with multiple complex interferometric coherence observables. In this paper, on the basis of the RVoG model, a truncated singular value decomposition (TSVD)-based method is proposed for forest height inversion from single-baseline polarimetric interferometric synthetic aperture radar (PolInSAR) data. In addition, in order to improve the applicability of TSVD for this issue, a new truncation method is proposed for TSVD. Differing from the traditional three-stage method, the TSVD-based inversion method estimates the pure volume coherence directly from the complex interferometric coherence, and estimates the forest height from the estimated pure volume coherence with a least-squares method. As a result, the TSVD-based method can adjust the contributions of the polarizations in the estimation of the model parameters and avoid the null ground-to-volume ratio assumption. The simulated experiments undertaken in this study confirmed that the TSVD-based method performs better than the three-stage method in forest height inversion. The TSVD-based method was also applied to E-SAR P-band data acquired over the Krycklan Catchment, Sweden, which is covered with mixed pine forest. The results showed that the TSVD-based method improves the root-mean-square error by 48.6% when compared to the three-stage method, which further validates the performance of the TSVD-based method. View Full-Text
Keywords: polarimetric interferometric synthetic aperture radar (PolInSAR); vegetation height; truncated singular value decomposition (TSVD); least squares polarimetric interferometric synthetic aperture radar (PolInSAR); vegetation height; truncated singular value decomposition (TSVD); least squares
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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

Lin, D.; Zhu, J.; Fu, H.; Xie, Q.; Zhang, B. A TSVD-Based Method for Forest Height Inversion from Single-Baseline PolInSAR Data. Appl. Sci. 2017, 7, 435.

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