地震工程学报2025，Vol.47Issue(3)：680-689,708,11.DOI:10.20000/j.1000-0844.20231128002
多因子约束的自适应四叉树InSAR数据降采样方法
Adaptive quadtree downsampling method for InSAR data based on multifactor constraints
摘要
Abstract
Data compression of interferometric synthetic aperture radar(InSAR)deformation fields significantly enhances the inversion efficiency of coseismic slip distribution models and seis-mogenic structure parameters.However,traditional compression methods face challenges in bal-ancing the removal of noise/redundant information and the preservation of global/local key deformation features.This study proposes a multifactor quadtree downsampling method con-strained by variance,deformation gradient,and coherence for the downsampling processing of the InSAR coseismic deformation field.Significance and coherence coefficients were used to adap-tively weigh various factors,and three strong earthquake events with different complexities were selected to verify the effectiveness and robustness of the method.Compared with existing meth-ods,the multifactor quadtree downsampling method maintained balanced sampling rates and low-er root mean square error across all cases,and the sampling results improved the resolution of fault slip distributions in three-dimensional slip inversions while reducing model residuals.The results suggest that the proposed method demonstrates low sampling rates,robust performance,effective elimination of low-coherence points,high retention of critical deformation details,and enhanced constraints on the linear distribution of deformation.关键词
InSAR/同震形变/四叉树降采样/形变梯度/相干性Key words
InSAR/coseismic deformation/quadtree downsampling/deformation gradient/coherence分类
天文与地球科学引用本文复制引用
莫昕宇,贾治革,黄宇,邓德贝尔,刘俊涛,阮巧喆,刘小利..多因子约束的自适应四叉树InSAR数据降采样方法[J].地震工程学报,2025,47(3):680-689,708,11.基金项目
中国地震局地震研究所所长基金(IS20226325) （IS20226325）
武汉引力与固体潮国家野外科学观测研究站开放基金(WHYW202201) （WHYW202201）
