广西科技大学学报2026，Vol.37Issue(4)：66-77,12.DOI:10.16375/j.cnki.cn45-1395/t.2026.04.009
稀疏网格正交非线性滤波多基线相位解缠算法
A sparse grid quadrature nonlinear filtering algorithm for multi-baseline phase unwrapping
摘要
Abstract
The multi-baseline phase unwrapping method can effectively solve the elevation inversion problem of discontinuous or abrupt terrains,and a multi-baseline phase unwrapping algorithm based on deep learning for sparse grid quadrature nonlinear filters was proposed to solve the problem of weak robustness of the multi-baseline elevation reconstruction method.First,a multi-channel edge detection network was built to extract edge information from multi-channel interferograms.Second,the interferograms were divided into mutation regions and continuous regions according to the edge information,and the elevation was acquired by the total variation maximum a posterior algorithm for the mutation regions,and the sparse-grid quadrature nonlinear filter was used to predict the continuous regions.Experimental results show that the proposed method achieves good elevation reconstruction accuracy and noise robustness.关键词
多基线相位解缠/非线性滤波/地形重建/边缘检测/高程反演Key words
multi-baseline phase unwrapping/nonlinear filtering/terrain reconstruction/edge detection/elevation inversion分类
信息技术与安全科学引用本文复制引用
王鑫汉,谢先明,望倪涛,胡佳俊,贾金国..稀疏网格正交非线性滤波多基线相位解缠算法[J].广西科技大学学报,2026,37(4):66-77,12.基金项目
国家自然科学基金项目(62161003) （62161003）
广西自然科学基金项目(2023CXNSFAA026024)资助 （2023CXNSFAA026024）
