Paper Info
Title
Robust Detection Of Single And Double Persistent Scatterers In Urban Built Environments: The Tomo-Psinsar Method
Abstract
In this paper, we develop a SAR tomography-based persistent scatterer interferometry (Tomo-PSInSAR) method to detect single and double persistent scatterers (PSs) in urban built environments. By constructing a two-tier network, we can jointly detect single and double PSs with no need for preliminary removal of the atmospheric phase screen (APS) in the whole area. This technique is more applicable in high-rise built environments (e.g., Hong Kong) with cloudy and rainy weather where there is much uncertainty when removing the APS. In the first-tier network, we aim to detect the most reliable single PSs (SPSs) by constructing a Delaunay triangulation network. To improve the robustness of estimation, we combine beamforming with an M-estimator for parameter estimation at the arcs, and introduce a ridge-estimator for network adjustment. In the second-tier network, we detect the remaining SPSs and all of the double PSs (DPSs) by constructing local star networks that use the SPSs detected in the first-tier network as reference points. To simplify the detection of DPSs, we employ a local maximum ratio (LMR) method for extracting overlaid DPSs. Finally, TerraSAR-X images are used to validate the Tomo-PSInSAR method.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7729367
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Keywords
Field
DocType
Tomo-PSInSAR, Single and double persistent scatterers, M-estimator, Ridge-estimator, TerraSAR-X
Beamforming,Star network,Synthetic aperture radar,Computer science,Remote sensing,Robustness (computer science),Interferometry,Atmospheric phase screen,Estimation theory,Delaunay triangulation
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Peifeng Ma113.10
Hui Lin245964.06
Fulong Chen3126.51