dc.contributor
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor
Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author
Zhao, Feng
dc.contributor.author
Mallorquí Franquet, Jordi Joan
dc.date.issued
2019-11-01
dc.identifier
Zhao, F.; Mallorqui, J.J. A temporal phase coherence estimation algorithm and its application on DInSAR pixel selection. "IEEE transactions on geoscience and remote sensing", 1 Novembre 2019, vol. 57, núm. 11, p. 8350-8361.
dc.identifier
https://hdl.handle.net/2117/175347
dc.identifier
10.1109/TGRS.2019.2920536
dc.description.abstract
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dc.description.abstract
Pixel selection is a crucial step of all advanced Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques that have a direct impact on the quality of the final DInSAR products. In this paper, a full-resolution phase quality estimator, i.e., the temporal phase coherence (TPC), is proposed for DInSAR pixel selection. The method is able to work with both distributed scatterers (DSs) and permanent scatterers (PSs). The influence of different neighboring window sizes and types of interferograms combinations [both the single-master (SM) and the multi-master (MM)] on TPC has been studied. The relationship between TPC and phase standard deviation (STD) of the selected pixels has also been derived. Together with the classical coherence and amplitude dispersion methods, the TPC pixel selection algorithm has been tested on 37 VV polarization Radarsat-2 images of Barcelona Airport. Results show the feasibility and effectiveness of TPC pixel selection algorithm. Besides obvious improvements in the number of selected pixels, the new method shows some other advantages comparing with the other classical two. The proposed pixel selection algorithm, which presents an affordable computational cost, is easy to be implemented and incorporated into any advanced DInSAR processing chain for high-quality pixels' identification.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (author's final draft)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
https://ieeexplore.ieee.org/document/8764576
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-85244-C2-2-P/ES/SENSORES PARA APLICACIONES MULTI-ESCALA EN TELEDETECCION/
dc.relation
info:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject
Remote sensing
dc.subject
Amplitude dispersion (DA)
dc.subject
Classical spatial coherence (classical SPC)
dc.subject
Differential synthetic aperture radar (SAR)
dc.subject
Interferometry
dc.subject
Pixel selection
dc.subject
Temporal phase coherence (TPC)
dc.title
A temporal phase coherence estimation algorithm and its application on DInSAR pixel selection
