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：2006
卷号：XXXVI-4/C42
出版社：Copernicus Publications
摘要：This contribution concentrates on the determination of thematic uncertainty after the classification process. It is shown that in this context – in particular when evaluating remotely sensed scenes showing high spatial resolution – severe problems arise due to indeterminate boundaries in both, reference data and classification results. This effect occurs between mostly natural objects or are due to blurred or overlapping definitions of classes or related attributes in a given classification scheme. Based on some approaches in the literature and not satisfying tools in existing software packages we propose the introduction of a new characteristic value, the Fuzzy Certainty Measure (FCM), that is able to model and quantify the indeterminate boundaries in reference data and classification results
关键词：classification; fuzzy logic; high resolution; indeterminate boundaries; uncertainty
