High-quality pixel selection in ground-based SAR interferometry based on pseudo- and quasi-permanent scatterers analyses

Zengshu Huang; Jinping Sun; Qing Li; Weixian Tan; Pingping Huang; Kuoye Han; Yaolong Qi

doi:10.1117/1.JRS.13.014507

31 January 2019 High-quality pixel selection in ground-based SAR interferometry based on pseudo- and quasi-permanent scatterers analyses

Zengshu Huang, Jinping Sun, Qing Li, Weixian Tan, Pingping Huang, Kuoye Han, Yaolong Qi

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 13, Issue 1, 014507 (January 2019). https://doi.org/10.1117/1.JRS.13.014507

Abstract

Due to the presence of phase noise and temporal decorrelation, high-quality pixel selection has been an indispensable part in ground-based synthetic aperture radar (GB-SAR) interferometry. The main pixel selection methods are permanent scatterer (PS) methods and coherent scatterer methods. However, both of them cannot properly solve the false-selection and the miss-selection caused by intrinsic scattering and temporal characteristics of the pixel on the whole dataset. Pseudo-PS and quasi-PS are first introduced into the high-quality pixel selection of GB-SAR interferometry, and a temporal selection method (TSM) is proposed to avoid the miss-selection of quasi-PS. Then, in order to achieve appropriate pixel density and high-quality pixels for deformation monitoring, a high-quality interferometric pixel selection method based on pseudo- and quasi-permanent scatterers analyses is proposed, which is a joint processing technique combining spatial variant apodization with TSM. Finally, the effectiveness of the proposed high-quality pixel selection method is validated by the field measurements of GB-SAR data.

Citation Download Citation

Zengshu Huang, Jinping Sun, Qing Li, Weixian Tan, Pingping Huang, Kuoye Han, and Yaolong Qi "High-quality pixel selection in ground-based SAR interferometry based on pseudo- and quasi-permanent scatterers analyses," Journal of Applied Remote Sensing 13(1), 014507 (31 January 2019). https://doi.org/10.1117/1.JRS.13.014507

Received: 27 March 2018; Accepted: 9 January 2019; Published: 31 January 2019

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