文章基本信息

标题：Visual Analytics approach for considering uncertainty information
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作者：Jochen Schiewe
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：2009
卷号：XXXVIII-2/W11
出版社：Copernicus Publications
摘要：The classification of remotely sensed data and the follow-up change detection and analysis inherit the problems of large amounts of and possibly uncertain, incomplete and contradictory data, as well as with complex relationships between them. With that a formalization and automatization of necessary processing steps becomes just as difficult as a visual interpretation with standard methods. Hence, there is a need to apply and to further develop analytical reasoning concepts and techniques which are for example known from the field of Visual Analytics. We propose an extended framework for change analysis processes, with a special emphasis on considering uncertainty information, which is then illustrated with some prototypes based on interactive filtering and interactive visualization techniques
关键词：visual interpretation; change detection; uncertainty; visual analytics