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Multi-sensor InSAR time series fusion for long-term land subsidence monitoring 被引量:1
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作者 Haonan Jiang Timo Balz +3 位作者 Francesca Cigna Deodato Tapete Jianan Li Yakun Han 《Geo-Spatial Information Science》 CSCD 2024年第5期1424-1440,共17页
Satellite Interferometric Synthetic Aperture Radar(InSAR)is widely used for topographic,geological and natural resource investigations.However,most of the existing InSAR studies of ground deformation are based on rela... Satellite Interferometric Synthetic Aperture Radar(InSAR)is widely used for topographic,geological and natural resource investigations.However,most of the existing InSAR studies of ground deformation are based on relatively short periods and single sensors.This paper introduces a new multi-sensor InSAR time series data fusion method for time-overlapping and time-interval datasets,to address cases when partial overlaps and/or temporal gaps exist.A new Power Exponential Knothe Model(PEKM)fits and fuses overlaps in the deformation curves,while a Long Short-Term Memory(LSTM)neural network predicts and fuses any temporal gaps in the series.Taking the city of Wuhan(China)as experiment area,COSMO-SkyMed(2011-2015),TerraSAR-X(2015-2019)and Sentinel-1(2019-2021)SAR datasets were fused to map long-term surface deformation over the last decade.An independent 2011-2020 InSAR time series analysis based on 230 COSMO-SkyMed scenes was also used as reference for comparison.The correlation coefficient between the results of the fusion algorithm and the reference data is 0.87 in the time overlapping region and 0.97 in the time-interval dataset.The correlation coefficient of the overall results is 0.78,which fully demonstrates that the algorithm proposed in our paper achieves a similar trend as the reference deformation curve.The experimental results are consistent with existing studies of surface deformation at Wuhan,demonstrating the accuracy of the proposed new fusion method to provide robust time series for the analysis of long-term land subsidence mechanisms. 展开更多
关键词 Interferometric Synthetic Aperture Radar(InSAR) Power Exponential Knothe Model(pekm) Long Short-Term Memory Network(LSTM) data fusion
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A NEW MODEL FOR ESTIMATION OF DIFFUSION COEFFICIENT OF PHENOL DESORPTION WITHIN POLYMERIC RESIN UNDER ULTRASOUND
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作者 LI Xiangbin ZHAO Yuechun +2 位作者 XIA Qibin XI Hongxia LI Zhong 《Chinese Journal of Reactive Polymers》 2002年第1期1-10,共10页
A new model, phase equilibrium-kinetics model (PEKM), for estimation of diffusion coefficient was proposed in this paper. Kinetic experiments of phenol desorption on NKAII resin in the presence and the absence of ultr... A new model, phase equilibrium-kinetics model (PEKM), for estimation of diffusion coefficient was proposed in this paper. Kinetic experiments of phenol desorption on NKAII resin in the presence and the absence of ultrasound were separately conducted, and diffusion coefficients of phenol within an adsorbent particle were estimated by means of proposed PEKM and classic simplified model. Results show that the use of ultrasound not only changes the phase equilibrium state of NKA II resin/phenol/water system which had been equilibrium at normal condition, but also enhances diffusion of phenol within the resin. The diffusion coefficient of phenol in the resin in the field of ultrasound increases in an order of magnitude in comparison with the diffusion coefficient determined under no ultrasound. Experimental results also indicated that the diffusion coefficients estimated by PEKM were more accurate than that estimated by the classic simplified model. 展开更多
关键词 ULTRASOUND Diffusion coefficient pekm Classic simplified model PHENOL DESORPTION NKAII resin
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