An Improved Four-component Decomposition Method Based on the Characteristic of Polarization and the Optimal Parameters of PolInSAR

Yu WANG; Weidong YU; Xiuqing LIU

doi:10.11999/JEIT190108

Volume 41 Issue 12

Dec. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(12): 2881-2888

Yu WANG, Weidong YU, Xiuqing LIU. An Improved Four-component Decomposition Method Based on the Characteristic of Polarization and the Optimal Parameters of PolInSAR[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2881-2888. doi: 10.11999/JEIT190108

Citation:

Yu WANG, Weidong YU, Xiuqing LIU. An Improved Four-component Decomposition Method Based on the Characteristic of Polarization and the Optimal Parameters of PolInSAR[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2881-2888. doi: 10.11999/JEIT190108

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An Improved Four-component Decomposition Method Based on the Characteristic of Polarization and the Optimal Parameters of PolInSAR

doi: 10.11999/JEIT190108

Yu WANG^{1,2
,
,},
Weidong YU^1,2,
Xiuqing LIU¹

1.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Received Date: 2019-02-25
Rev Recd Date: 2019-04-23

Available Online: 2019-04-29

Publish Date: 2019-12-01

Abstract

Abstract

The backscattering of the radar targets is sensitive to the relative geometry between orientations of the targets and the radar line of sight. When the orientations of the same target are different from the radar line of sight, the scattering characteristics are quite different. Targets such as inclined ground and inclined buildings may reverse the polarization base of the backscattered echo, which causes the cross-polarization component to be too high and the volume scattering component of the image is overestimated. In this paper, a polarimetric interferometric decomposition method based on polarimetric parameters ($ H/{\alpha} $) and Polarimetric Interferometric Similarity Parameters (PISP) is proposed to solve the overestimation problem. The method makes full use of the scattering diversity of the scatterer in the radar line of sight. The cross-polarization components generated by targets such as inclined grounds and inclined buildings with different orientations are better adapted to obtain better decomposition results. Finally, the effectiveness of the proposed method in polarimetric interferometric decomposition is verified by the airborne C-band PolInSAR data obtained by the Institute of Electronics, Chinese Academy of Sciences. The experimental results show that the proposed improved algorithm can distinguish the scattering characteristics of terrain types effectively and correctly.

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References(21)

References

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