.png){kind=icon}
Return
Interferometric phase reconstruction using simplified coherence network
.png){kind=icon}
PRE
AI
DOI：10.1016/j.isprsjprs.2016.05.002.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Interferometric time-series analysis techniques, which extend the traditional differential radar interferometry, have demonstrated a strong capability for monitoring ground surface displacement. Such techniques are able to obtain the temporal evolution of ground deformation within millimeter accuracy by using a stack of synthetic aperture radar (SAR) images. In order to minimize decorrelation between stacked SAR images, the phase reconstruction technique has been developed recently. The main idea of this technique is to reform phase observations along a SAR stack by taking advantage of a maximum likelihood estimator which is defined on the coherence matrix estimated from each target. However, the phase value of a coherence matrix element might be considerably biased when its corresponding coherence is low. In this case, it will turn to an outlying sample affecting the corresponding phase reconstruction process. In order to avoid this problem, a new approach is developed in this paper. This approach considers a coherence matrix element to be an arc in a network. A so-called simplified coherence network (SCN) is constructed to decrease the negative impact of outlying samples. Moreover, a pointed iterative strategy is designed to resolve the transformed phase reconstruction problem defined on a SCN. For validation purposes, the proposed method is applied to 29 real SAR images. The results demonstrate that the proposed method has an excellent computational efficiency and could obtain more reliable phase reconstruction solutions compared to the traditional method using phase triangulation algorithm. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
Keywords:
Persistent scatterer interferometry
Interferometric stacking techniques
Phase reconstruction
Coherence matrix
Simplified coherence network
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
12.2
Papers:
4.4K
Citations:
3.2W
Organization
View more organizations
Cited Papers
Estimating Spatiotemporal Ground Deformation With Improved Permanent-Scatterer Radar Interferometry
PREAI
ShareSaveShareSaveShareSaveMapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis.png)
ENGINEERING GEOLOGY
OAAI
ENGINEERING GEOLOGYIF8.4
OAAIShareSaveMathematical Framework for Phase-Triangulation Algorithms in Distributed-Scatterer Interferometry
PREAI
ShareSave View more