Print Email Facebook Twitter Incorporating Temporary Coherent Scatterers in Multi-Temporal InSAR Using Adaptive Temporal Subsets Title Incorporating Temporary Coherent Scatterers in Multi-Temporal InSAR Using Adaptive Temporal Subsets Author Hu, F. (TU Delft Mathematical Geodesy and Positioning; Tongji University) Wu, Jicang (Tongji University) Chang, Ling (University of Twente) Hanssen, R.F. (TU Delft Mathematical Geodesy and Positioning) Date 2019 Abstract Multi-temporal interferometric synthetic apertureradar (MT-InSAR) is used for many applications in earthobservation. Most MT-InSAR methods select scatterers with highcoherence throughout the entire time series. However, as timeseries lengthen, inevitable changes in surface scattering leadto decorrelation, which systematically decreases the number ofcoherent scatterers. Here, we propose a novel method to detectand process temporary coherent scatterers (TCS) by subsequentlyanalyzing the amplitude and the interferometric phase. Twohypothesis tests are developed for amplitude analysis in order toidentify the moments of appearing and/or disappearing coherentscatterers. Based on the amplitude analysis, the parametersof interest are then estimated using the interferometric phase.An optimized adaptive temporal subset approach is proposed toimprove the precision of the estimated parameters. If the scatter-ers are not evenly distributed over the area, a secondary (support)network is designed to improve the spatial point distribution.The main advantage of this method is the reliable extraction ofa subset of time series without using any contextual information.Experimental results show that the TCSs significantly increasethe number of observations for displacement monitoring andimprove the change detection capability in urban constructionareas. Subject Change detectionRayleigh distributionmulti-temporal InSARtemporary coherent scatterer To reference this document use: http://resolver.tudelft.nl/uuid:58359390-39c7-4256-9828-0d2f55be40a7 DOI https://doi.org/10.1109/TGRS.2019.2915658 ISSN 0196-2892 Source IEEE Transactions on Geoscience and Remote Sensing, 57 (10), 7658-7670 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2019 F. Hu, Jicang Wu, Ling Chang, R.F. Hanssen Files PDF FINAL_VERSION.pdf 7.72 MB Close viewer /islandora/object/uuid:58359390-39c7-4256-9828-0d2f55be40a7/datastream/OBJ/view