A Data Reconstruction Method for Inspection Mode in GBSAR Monitoring Using Sage–Husa Adaptive Kalman Filtering and RTS Smoothing

A Data Reconstruction Method for Inspection Mode in GBSAR Monitoring Using Sage–Husa Adaptive Kalman Filtering and RTS Smoothing

Ground-based synthetic aperture radar (GBSAR) has been widely used in the fields of early warning of geologic hazards and deformation monitoring of engineering structures due to its characteristics of high spatial resolution, zero spatial baseline, and short revisit period. However, in the continuou...

Full description

Saved in:
Bibliographic Details
Main Authors: Yaolong Qi, Jialiang Guo, Jiaxin Hui, Ting Hou, Pingping Huang, Weixian Tan, Wei Xu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
GB-SAR
RTS smoothing
inspection mode
Sage–Husa Kalman filter
data reconstruction
Online Access:https://www.mdpi.com/1424-8220/25/13/3937
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items