应地理科学学院邀请，意大利国家科学院电子学研究所Antonio Pepe研究员将于2014年12月3日下午（1:30）在闵行资环楼271会议室给我院（校）师生做一次学术报告。报告内容是关于高级多时相合成孔径雷达差分干涉测量提取地表形变信号长时间序列的数据处理方法与应用研究，欢迎全校师生积极参加。
报告题目：
"Advanced Multi-temporal DInSAR techniques for Earth's surface monitoring"
报告人简介：
Antonio Pepe received the degree in electronic engineering and the PhD degree from the University of Naples, Federico II, in 2000 and 2007, respectively. He carries out his research activities at the Institute for Electromagnetic Sensing of the Environment (IREA) of National Research Council of Italy (CNR), Naples, where he is a researcher from 2009. His main research interests include the development of innovative differential SAR interferometry algorithms for the monitoring of Earth surface displacement signals (mostly due to seismo-tectonic, volcanic, hydro-geological causes).
More recently, his interests have included the research topic concerning the integration of radar and optical data for the monitoring of forestland subject to fires. Within these frameworks, he has acted ad scientific supervisor of several scientific projects and he authored more than 30 papers on peer-reviewed journals. From 2003 he has been member of the Editorial Board of the “Advances in Geology” and “Asian Journal of Geosciences” journal. Also, he was a Visiting Scientist at the University of Texas at Austin, Austin, in 2005, at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, in 2009 and, very recently (in 2014), at East China Normal University (ECNU), Shanghai. From 2012 he is also an adjunct professor of Signal Theory with the “Università della Basilicata”, Potenza, Italy.
报告内容：
Differential Synthetic Aperture Radar Interferometry (DInSAR) is a well-known approach to investigate Earth surface deformation with centimetre to millimetre accuracy. Originally developed to investigate single deformation episodes it has gradually been extended to follow the temporal evolution of deformation via the generation of displacement time-series. In this framework, over the years several DInSAR approaches have proposed in literature: mostly they can be grouped in two categories: the Persistent Scatterers (PS) methods that analyze single point scatterers on the ground and the Small Baseline (SB) approaches that are, instead, aimed at analyzing distributed scatterers. To this class belongs the algorithm known as Small Baseline Subset (SBAS) developed at Istituto di Ricerca per il Rilevamento Elettromagnetico dell’Ambiente (IREA) of the National Council Research (CNR) of Italy.
The presentation will provide an introduction to classical and advanced multi-temporal DInSAR techniques, with an emphasis on recent advancements concerning the application of such techniques to new generation high resolution SAR sensors (Cosmo-Skymed, TerraSAR-X). Some preliminarily analysis carried out by exploiting SAR data acquired by the new TOPS mode Sentinel-1 satellite of Italian Space Agency (launched on April 2, 2014) will be also provided. A focus will be done on the potential of this new SAR system for Earth’s surface monitoring, guaranteeing extremely large spatial coverage of imaged areas.
Several experimental results achieved on various volcanic and seismogenic areas as well as on urban areas by processing sets of first and new generation of SAR systems will be presented, highlighting the impact that DInSAR techniques have on the large-scale monitoring of Earth surface. The advent of new generation satellites, with enhanced spatial resolutions and very reduced time acquisition repetition frequencies, also imposes the development of advanced and efficient processing tools. The results of a few experiments conducted in cooperation with European Space Agency (ESA) by exploiting highly efficient computing platforms (Grid and Cloud environment) will be presented.
