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ISPRS Int. J. Geo-Inf. 2016, 5(10), 186; doi:10.3390/ijgi5100186

Forest Vertical Parameter Estimation Using PolInSAR Imagery Based on Radiometric Correction

1
,
1,2,* , 1
and
3
1
Signal Processing Lab, Electronic and Information School, Wuhan University, Wuhan 430079, China
2
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China
3
ATR Key Lab, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 30 June 2016 / Revised: 21 September 2016 / Accepted: 28 September 2016 / Published: 10 October 2016
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Abstract

This work introduces an innovative radiometric terrain correction algorithm using PolInSAR imagery for improving forest vertical structure parameter estimation. The variance of radar backscattering caused by terrain undulation has been considered in this research by exploiting an iteration optimization procedure to improve the backscattering estimation for a Synthetic Aperture Radar (SAR) image. To eliminate the variance of backscatter coefficients caused by the local incident angle, a radiometric normalization algorithm has been investigated to compensate the influence of terrain on backscattering values, which hinders forest vertical parameter estimation. In vertical parameter estimation, species diversity and the spatial distribution of different vegetation have been modeled. Then, a combination of Fisher’s Alpha-Diversity model parameter estimation and the three-stage inversion method was designed for the vertical structure parameter. To demonstrate the efficiency of the proposed method in forest height estimation, the classical phase difference and three-stage inversion approach have been performed for the purpose of comparison. The proposed algorithm is tested on ALOS PALSAR (Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 (Radio Direction and Range Satellite 2) data sets for the Great Xing’an Mountain area and BioSAR (Biomass Synthetic Aperture Radar) 2007 data sets for the Remningstorp area. Height estimation results have also been validated using in-situ measurements. Experiments indicate the proposed method has the ability to compensate the influence of terrain undulation and improving the accuracy of forest vertical structure parameter estimation. View Full-Text
Keywords: PolInSAR; radiometric terrain correction; vertical structure; scattering mechanism; RVoG model (Random Volume-over-Ground model) PolInSAR; radiometric terrain correction; vertical structure; scattering mechanism; RVoG model (Random Volume-over-Ground model)
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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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Zhang, Y.; He, C.; Xu, X.; Chen, D. Forest Vertical Parameter Estimation Using PolInSAR Imagery Based on Radiometric Correction. ISPRS Int. J. Geo-Inf. 2016, 5, 186.

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