Lookup NU author(s): Zheng Wang,
Professor Zhenhong Li,
Professor Jon Mills
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2019 by the authors.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.
Author(s): Wang Z, Li Z, Liu Y, Peng J, Long S, Mills J
Publication type: Article
Publication status: Published
Journal: Remote Sensing
Online publication date: 20/10/2019
Acceptance date: 16/10/2019
Date deposited: 11/11/2019
ISSN (electronic): 2072-4292
Publisher: MDPI AG
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