A New Polarimetric Persistent Scatterer Interferometry Method Using Temporal Coherence Optimization

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/76876
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Title: A New Polarimetric Persistent Scatterer Interferometry Method Using Temporal Coherence Optimization
Authors: Sadeghi, Zahra | Valadan Zoej, Mohammad Javad | Hooper, Andrew | Lopez-Sanchez, Juan M.
Research Group/s: Señales, Sistemas y Telecomunicación
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal
Keywords: Polarimetric persistent scatterer InSAR (PSI) | Stanford Method for PS (StaMPS) | Temporal coherence
Knowledge Area: Teoría de la Señal y Comunicaciones
Issue Date: 20-Jun-2018
Publisher: IEEE
Citation: IEEE Transactions on Geoscience and Remote Sensing. 2018. doi:10.1109/TGRS.2018.2840423
Abstract: While polarimetric persistent scatterer InSAR (PSI) is an effective technique for increasing the number and quality of selected PS pixels, existing methods are suboptimal; a polarimetric channel combination is selected for each pixel based either on amplitude, which works well only for high-amplitude scatterers such as man-made structures, or on the assumption that pixels in a surrounding window all have the same scattering mechanism. In this paper, we present a new polarimetric PSI method in which we use a phase-based criterion to select the optimal channel for each pixel, which can work well even in nonurban environments. This algorithm is based on polarimetric optimization of temporal coherence, as defined in the Stanford Method for PS (StaMPS), to identify the scatterers with stable phase characteristics. We form all possible copolar and cross-polar interferograms from the available polarimetric channels and find the optimum coefficients for each pixel using defined search spaces to optimize the temporal coherence. We apply our algorithm, PolStaMPS, to an area in the Tehran basin that is covered primarily by vegetation. Our results confirm that the algorithm substantially improves on StaMPS performance, increasing the number of PS pixels by 48%, 80%, and 82% with respect to HH+VV, VV, and HH channels, respectively, and increasing the signal-to-noise ratio of selected pixels.
Sponsor: This work was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), the State Agency of Research (AEI) and the European Funds for Regional Development (EFRD) under Projects TIN2014-55413-C2-2-P and TEC2017-85244-C2-1-P, and by the Spanish Ministry of Education under Grant PRX14/00151.
URI: http://hdl.handle.net/10045/76876
ISSN: 0196-2892 (Print) | 1558-0644 (Online)
DOI: 10.1109/TGRS.2018.2840423
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 IEEE
Peer Review: si
Publisher version: https://doi.org/10.1109/TGRS.2018.2840423
Appears in Collections:INV - SST - Artículos de Revistas

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