Layover and shadow detection based on distributed spaceborne single-baseline InSAR

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Huanxin, Zou^1 ; Bin, Cai^2 ; Changzhou, Fan^2 ; Yun, Ren^1

UWB Lab, School of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan, China^1

Telecommunication Engineering Institute, Air Force Engineering University, Xi'an, Shanxi, China^2

关键词: Autocorrelation matrix;    Digital elevation model;    Estimation methods;    Geometric relations;    Information theoretic criterion;    Interferometric signals;    Phase singularities;    Shadow detections;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012243/pdf
DOI  :  10.1088/1755-1315/17/1/012243

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Distributed spaceborne single-baseline InSAR is an effective technique to get high quality Digital Elevation Model. Layover and Shadow are ubiquitous phenomenon in SAR images because of geometric relation of SAR imaging. In the signal processing of single-baseline InSAR, the phase singularity of Layover and Shadow leads to the phase difficult to filtering and unwrapping. This paper analyzed the geometric and signal model of the Layover and Shadow fields. Based on the interferometric signal autocorrelation matrix, the paper proposed the signal number estimation method based on information theoretic criteria, to distinguish Layover and Shadow from normal InSAR fields. The effectiveness and practicability of the method proposed in the paper are validated in the simulation experiments and theoretical analysis.