文章基本信息

标题：Automatic Object Extraction for Change Detection and GIS Update
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作者：Stefan Hinz
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B4
页码：277-284
出版社：Copernicus Publications
摘要：In this paper we will revise the recent developments in the field of automatic object extraction for change detection and GIS update under different aspects: (1) level of automation; (2) available sensors and image characteristics; (3) effectiveness and processing time; and (4) verification/editing and quality of results. For most applications, none of these aspects can be considered isolated from the others. We will exemplify the importance of these aspects by the recent efforts made, in order to support the management and prevention of natural hazards and civil crises, e.g. caused by floodings or earthquakes
关键词：Object Extraction; Image Understanding; Evaluation; Disaster Management