报告题目:基于遥感影像的中国城市建筑面积研究

报告时间：2023年11月1日上午9:30

报告地点：新葡萄8883官网AMGB404会议室

报告人：Susie Xi Rao

报告人国籍：中国

报告人单位：苏黎世联邦理工学院

报告人简介：Susie Xi Rao，苏黎世联邦理工学院（ETH）博士后研究员；卢塞恩应用科学与艺术大学（HSLU）讲师。她的研究兴趣包括图数据的模式挖掘、信息提取和自然语言处理，研究成果发表在AAAI、CIDR、CIKM、ICCHP、ICDE、ICJNLP、ICLR、JURIX、KDD、NAACL、VLDB和《中国经济周刊》等重要国际会议和期刊上。

报告摘要：In this talk, we discuss a first milestone in measuring the floorspace of buildings for 40 major Chinese cities. The intent is to maximize city coverage and, eventually provide longitudinal data. We use a multi-task object segmenter approach to learn the building footprint and height in the same framework in parallel: (1) we determine the surface area is covered by any buildings (the square footage of occupied land); (2) we determine floorspace from multi-image representations of buildings from various angles to determine the height of buildings. We use Sentinel-1 and -2 satellite images as our main data source. We provide a detailed description of our data, algorithms, and evaluations. In addition, we analyze the quality of reference data and their role for measuring the building floorspace with minimal error. We conduct extensive quantitative and qualitative analyses with Shenzhen as a case study using our multi-task learner. Finally, we conduct correlation studies between our results (on both pixel and aggregated urban area levels) and nightlight data to gauge the merits of our approach in studying urban development.

邀请人：江佳伟