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Remote Sens. 2016, 8(10), 861; doi:10.3390/rs8100861

A Modified Three-Stage Inversion Algorithm Based on R-RVoG Model for Pol-InSAR Data

Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China
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Academic Editors: Nicolas Baghdadi and Prasad Thenkabail
Received: 20 June 2016 / Revised: 5 September 2016 / Accepted: 14 October 2016 / Published: 20 October 2016

Abstract

In this paper, a modified two-layer scattering model is applied to a three-stage algorithm for high-precision retrieval of forest parameters from Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) data. Traditional Random-Volume-over-Ground (RVoG) model considers forest target as a two-layer combination of flat ground and volumetric canopy. However, when it comes to sloped terrain, the inversion accuracy of three-stage process deteriorates with the ascending estimation error in volume correlation which is mainly caused by the existence of underlying terrain slope. Aiming at this problem, a Range-sloped RVoG (R-RVoG) model is presented in this paper. By modifying the ground layer as a range-sloped plane, the complex correlation of R-RVoG model can be amended as a function of ground phase, ground-to-volume scattering ratio, forest height, mean extinction and range slope. The introduction of range slope variable makes this modified model better resemble to real scene and thus improves the performance of three-stage algorithm. Both of the simulated data with different terrain slopes and the Space-borne Imaging Radar-C (SIR-C) real data in Tianshan test area are processed to verify the validity of this modification. View Full-Text
Keywords: three-stage; RVoG; R-RVoG; Pol-InSAR three-stage; RVoG; R-RVoG; Pol-InSAR
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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

Zhang, Q.; Liu, T.; Ding, Z.; Zeng, T.; Long, T. A Modified Three-Stage Inversion Algorithm Based on R-RVoG Model for Pol-InSAR Data. Remote Sens. 2016, 8, 861.

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