期刊名称：GI_FORUM - Journal for Geographic Information Science
电子版ISSN：2308-1708
出版年度：2018
卷号：1
页码：243-250
DOI：10.1553/giscience2018_01_s243
出版社：ÖAW Verlag, Wien
摘要：This paper investigates the extraction of geolocated images from social media. Pictures taken with a mobile device are typically georeferenced, but social media may or may not provide geo-coordinates, depending on their privacy policies. Our goal is to geolocate images extracted from Twitter to support emergency services in natural disasters. As the number of tweets with native georeferences is limited, we introduce algorithms that take advantage of various contextual clues included in social media posts to help increase the proportion of posts that can be geolocated. Using an explorative approach, we also investigate how to locate, in other social media, images that were originally embedded in tweets. The application of these context-based algorithms to a case study is discussed.
