FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping

Phase unwrapping (PU) based on spatial networks is a key procedure in time series synthetic aperture radar interferometry (TS-InSAR). Although the state-of-the-art techniques have shown good success in common cases, their performance remained uncertain in some challenging cases where the reliability...

Full description

Saved in:
Bibliographic Details
Main Authors: Gao, Zhuang, He, Xiufeng, Ma, Zhangfeng, Shi, Guoqiang
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170680
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-170680
record_format dspace
spelling sg-ntu-dr.10356-1706802023-09-26T01:10:36Z FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping Gao, Zhuang He, Xiufeng Ma, Zhangfeng Shi, Guoqiang Asian School of the Environment Earth Observatory of Singapore Science::Geology Three-dimensional Displays Spatiotemporal Phenomena Phase unwrapping (PU) based on spatial networks is a key procedure in time series synthetic aperture radar interferometry (TS-InSAR). Although the state-of-the-art techniques have shown good success in common cases, their performance remained uncertain in some challenging cases where the reliability of spatial networks is difficult, e.g., reservoir areas with sparse points. In this context, this letter presents a new 3-D PU method based on the fully connected spatiotemporal network (FCSN) to improve both the accuracy and robustness of PU. The rationale behind this is that we first implement a spatiotemporal network refinement including temporal interferogram pair selection and spatial network optimization. Based on the generated spatiotemporal network, we then establish a 3-D PU mathematical framework by elaborating the 2-D edgelist PU theory into the 3-D domain. In this framework, all interferograms are unwrapped using the integer linear programming (ILP) method under the minimum $L^{1}$ -Norm criterion. The new feature of the proposed method is that after a single solution search, all interferograms are unwrapped with relatively high accuracy. The experimental results on two real datasets confirm its effectiveness. This work was supported in part by the National Natural Science Foundation of China under Grant 41830110 and in part by the National Key Research Development Program of China under Grant 2018YFC1503603. 2023-09-26T01:10:36Z 2023-09-26T01:10:36Z 2023 Journal Article Gao, Z., He, X., Ma, Z. & Shi, G. (2023). FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping. IEEE Geoscience and Remote Sensing Letters, 20, 4003605-. https://dx.doi.org/10.1109/LGRS.2023.3256639 1545-598X https://hdl.handle.net/10356/170680 10.1109/LGRS.2023.3256639 2-s2.0-85151394680 20 4003605 en IEEE Geoscience and Remote Sensing Letters © 2023 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Geology
Three-dimensional Displays
Spatiotemporal Phenomena
spellingShingle Science::Geology
Three-dimensional Displays
Spatiotemporal Phenomena
Gao, Zhuang
He, Xiufeng
Ma, Zhangfeng
Shi, Guoqiang
FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping
description Phase unwrapping (PU) based on spatial networks is a key procedure in time series synthetic aperture radar interferometry (TS-InSAR). Although the state-of-the-art techniques have shown good success in common cases, their performance remained uncertain in some challenging cases where the reliability of spatial networks is difficult, e.g., reservoir areas with sparse points. In this context, this letter presents a new 3-D PU method based on the fully connected spatiotemporal network (FCSN) to improve both the accuracy and robustness of PU. The rationale behind this is that we first implement a spatiotemporal network refinement including temporal interferogram pair selection and spatial network optimization. Based on the generated spatiotemporal network, we then establish a 3-D PU mathematical framework by elaborating the 2-D edgelist PU theory into the 3-D domain. In this framework, all interferograms are unwrapped using the integer linear programming (ILP) method under the minimum $L^{1}$ -Norm criterion. The new feature of the proposed method is that after a single solution search, all interferograms are unwrapped with relatively high accuracy. The experimental results on two real datasets confirm its effectiveness.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Gao, Zhuang
He, Xiufeng
Ma, Zhangfeng
Shi, Guoqiang
format Article
author Gao, Zhuang
He, Xiufeng
Ma, Zhangfeng
Shi, Guoqiang
author_sort Gao, Zhuang
title FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping
title_short FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping
title_full FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping
title_fullStr FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping
title_full_unstemmed FCSN 3-D PU: fully connected spatiotemporal network based 3-D phase unwrapping
title_sort fcsn 3-d pu: fully connected spatiotemporal network based 3-d phase unwrapping
publishDate 2023
url https://hdl.handle.net/10356/170680
_version_ 1779156367558311936