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Remote Sens. 2017, 9(8), 856;

A Hierarchical Extension of General Four-Component Scattering Power Decomposition

College of Electronic Science, National University of Defense Technology, Changsha 410073, China
Research Academy of NBC Defense, Beijing 102205, China
Author to whom correspondence should be addressed.
Received: 16 July 2017 / Revised: 16 August 2017 / Accepted: 16 August 2017 / Published: 18 August 2017
(This article belongs to the Section Remote Sensing Image Processing)
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The overestimation of volume scattering (OVS) is an intrinsic drawback in model-based polarimetric synthetic aperture radar (PolSAR) target decomposition. It severely impacts the accuracy measurement of scattering power and leads to scattering mechanism ambiguity. In this paper, a hierarchical extended general four-component scattering power decomposition method (G4U) is presented. The conventional G4U is first proposed by Singh et al. and it has advantages in full use of information and volume scattering characterization. However, the OVS still exists in the G4U and it causes a scattering mechanism ambiguity in some oriented urban areas. In the proposed method, matrix rotations by the orientation angle and the helix angle are applied. Afterwards, the transformed coherency matrix is applied to the four-component decomposition scheme with two refined models. Moreover, the branch condition applied in the G4U is substituted by the ratio of correlation coefficient (RCC), which is used as a criterion for hierarchically implementing the decomposition. The performance of this approach is demonstrated and evaluated with the Airborne Synthetic Aperture Radar (AIRSAR), Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), Radarsat-2, and the Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) fully polarimetric data over different test sites. Comparison studies are carried out and demonstrated that the proposed method exhibits promising improvements in the OVS and scattering mechanism characterization. View Full-Text
Keywords: polarimetric synthetic aperture radar (PolSAR); overestimation of volume scattering (OVS); model-based decomposition polarimetric synthetic aperture radar (PolSAR); overestimation of volume scattering (OVS); model-based decomposition

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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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Quan, S.; Xiang, D.; Xiong, B.; Hu, C.; Kuang, G. A Hierarchical Extension of General Four-Component Scattering Power Decomposition. Remote Sens. 2017, 9, 856.

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