Paper Info
Title
A New Processing Chain for Real-Time Ground-Based SAR (RT-GBSAR) Deformation Monitoring
Abstract
Due to the high temporal resolution (e.g., 10 s) required, and large data volumes (e.g., 360 images per hour) that result, there remain significant issues in processing continuous ground-based synthetic aperture radar (GBSAR) data. This includes the delay in creating displacement maps, the cost of computational memory, and the loss of temporal evolution in the simultaneous processing of all data together. In this paper, a new processing chain for real-time GBSAR (RT-GBSAR) is proposed on the basis of the interferometric SAR small baseline subset concept, whereby GBSAR images are processed unit by unit. The outstanding issues have been resolved by the proposed RT-GBSAR chain with three notable features: (i) low requirement of computational memory; (ii) insights into the temporal evolution of surface movements through temporarily-coherent pixels; and (iii) real-time capability of processing a theoretically infinite number of images. The feasibility of the proposed RT-GBSAR chain is demonstrated through its application to both a fast-changing sand dune and a coastal cliff with submillimeter precision.
Year
DOI
Venue
2019
10.3390/rs11202437
REMOTE SENSING
Keywords
DocType
Volume
ground-based synthetic aperture radar,interferometry,time series analysis,real-time,deformation monitoring,small baseline subset algorithm
Journal
11
Issue
Citations 
PageRank 
20
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Zhuo Wang161.49
Zhenhong Li216547.51
Yanxiong Liu324.09
Junhuan Peng4269.66
Sichun Long501.01
Jon P. Mills6185.25