报告人：Paolo Gamba（意大利帕维亚大学 教授）

时间：2024年9月27日（周五）14:00-15:30

地点：测绘馆301会议室

报告简介：

Unlike periodic changes in natural cover, urban construction activities caused by urbanization show distinctly non-periodic patterns in time. It is desirable to capture and recognize these changes, to timely update urban information databases among the others, by utilizing high-frequency observation of optical sensors or synthetic aperture radar (SAR) in an automatic way. To this aim, the primary task is to extract, recognize, and eventually segment long time sequences and distinguish between changing and non-changing time segments. Unfortunately, urban building activities have different durations. This talk will cover previous works of monitoring urban building construction activities by using SAR amplitude and coherence time series data, eventually focusing on distinguishing among changed segments of different duration by a proposed semantic segmentation method based on LSTM autoencoders.

报告人简介：

Paolo Gamba is Professor at the University of Pavia, Italy in the Telecommunications and Remote Sensing Laboratory. He received the Laurea degree in Electronic Engineering “cum laude” from the University of Pavia, Italy, in 1989, and the Ph.D. in Electronic Engineering from the same University in 1993. He served as Editor-in-Chief of the IEEE Geoscience and Remote Sensing Letters from 2009 to 2013, and as Chair of the Data Fusion Committee of the IEEE Geoscience and Remote Sensing Society (GRSS) from October 2005 to May 2009. He has been elected in the GRSS AdCom from 2014 to 2022, served as GRSS President from 2019 to 2020, and is currently the Editor-in-Chief of the IEEE Geoscience and Remote Sensing Magazine. He also served as Technical Co-Chair of the 2010, 2015 and 2020 IGARSS conferences, in Honolulu (Hawaii), Milan (Italy), and on-line, respectively. He is Fellow of IEEE, IAPR, AAIA and the Academia Europaea. He has been invited to give keynote lectures and tutorials on several occasions about urban remote sensing, data fusion, EO data for physical exposure and risk management. He published more than 190 papers in international peer-review journals.