Model-Based Decomposition of Polarimetric SAR Covariance Matrices Constrained for Nonnegative Eigenvalues

Zyl, J.J. van; Arii, Motofumi; Kim, Yun-Jin

doi:10.1109/tgrs.2011.2128325

Cited by 330 publications

(197 citation statements)

References 7 publications

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“…This approach represents target scattering by several basic scattering mechanisms. Since 1970, this technique has become an advanced research area in polarimetric SAR signal processing, with many valuable coherent and incoherent decompositions being developed [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Among these methods, Cloude-Pottier decomposition has attracted considerable attention.…”

Section: Introductionmentioning

confidence: 99%

Scattering Mechanism Extraction by a Modified Cloude-Pottier Decomposition for Dual Polarization SAR

Wu²

2015

Remote Sensing

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Dual polarization is a typical operational mode of polarimetric synthetic aperture radar (SAR). However, few studies have considered the scattering mechanism extraction of dual-polarization SARs. A modified Cloude-Pottier decomposition is proposed to investigate the performance of the scattering mechanism extraction of dual-polarization SARs. It is theoretically demonstrated that only HH-VV SAR can discriminate the three canonical scattering mechanisms from an isotropic surface, horizontal dipole, and isotropic dihedral. Various experiments are conducted using 21 scenes from real datasets acquired by AIRSAR, Convair-580 SAR, EMISAR, E-SAR, Pi-SAR, and RADARSAT-2. Division of the dual-polarization H-α plane is experimentally obtained. The lack of cross-polarization induces the diffusion of scattering mechanisms and their overlap in the HH-VV H-α plane. However, the performance of HH-VV SAR for extracting scattering mechanisms is acceptable. Thus, HH-VV SAR is a suitable alternative to full-polarization SAR in certain cases. Meanwhile, the extraction performance of the other two dual-polarization SARs is badly degraded due to the lack of co-polarization. Therefore, HH-HV and HV-VV SARs cannot effectively extract the scattering mechanisms in the H-α plane.

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Section: Introductionmentioning

confidence: 99%

Scattering Mechanism Extraction by a Modified Cloude-Pottier Decomposition for Dual Polarization SAR

Wu²

2015

Remote Sensing

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“…In fact, azimuth slope influences have been well understood, particularly in weakly-vegetated areas. As reported in the literature, e.g., [6,7,15], the orientation angle compensation can improve the estimation performance of the volume scattering powers and mitigate negative power problems. However, there exists a significant amount of azimuth-slope-induced errors, particularly in the estimation of signals scattered from the ground surface underneath the vegetation.…”

Section: Discussionmentioning

confidence: 96%

“…This is mostly based on eigenvalue-eigenvector analysis [1][2][3] or on physical assumptions, i.e., fitting physically-based scattering models to the polarimetric SAR observations [4][5][6][7].…”

Section: Open Accessmentioning

confidence: 99%

“…Among several approaches, four widely-used methods are recalled in this study, such as the Freeman-Durden decomposition (FDD) [4], the Yamaguchi decomposition (YD) [5], the Yamaguchi decomposition with orientation compensation (YDR) [6] and the non-negative eigenvalue decomposition (NNED) [7].…”

Section: Model-fitting-based Polsar Decompositionmentioning

confidence: 99%

“…Van Zyl et al [7] proposed another approach to resolve the negative power problem. Instead of improving modelization, the NNED method addresses this issue by taking into account non-negative constraint in the inversion results.…”

Section: Model-fitting-based Polsar Decompositionmentioning

confidence: 99%

See 2 more Smart Citations

The Effect of Topography on Target Decomposition of Polarimetric SAR Data

Park

2015

Remote Sensing

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Polarimetric target decomposition enables the interpretation of radar images more easily, mostly based on physical assumptions, i.e., fitting physically-based scattering models to the polarimetric SAR observations. However, the model-fitting result cannot be always successful. Particularly, the performance of model-fitting in sloping forests is still an open question. In this study, the effect of ground topography on the model-fitting-based polarimetric decomposition techniques is investigated. The estimation accuracy of each scattering component in the decomposition results are evaluated based on the simulated target matrix by using the incoherent vegetation scattering model that accounts for the tilted scattering surface beneath the forest canopy. Experimental results show that the surface and the double-bounce scattering components can be significantly misestimated due to the topographic slope, even when the volume scattering power is successfully estimated.

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Advanced Polarimetric Concepts

Zyl

Kim

2011

Synthetic Aperture Radar Polarimetry

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Model-Based Decomposition of Polarimetric SAR Covariance Matrices Constrained for Nonnegative Eigenvalues

Cited by 330 publications

References 7 publications

Scattering Mechanism Extraction by a Modified Cloude-Pottier Decomposition for Dual Polarization SAR

Scattering Mechanism Extraction by a Modified Cloude-Pottier Decomposition for Dual Polarization SAR

The Effect of Topography on Target Decomposition of Polarimetric SAR Data

Advanced Polarimetric Concepts

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