文章基本信息

标题：Misclassification error propagation in land cover change categorization
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作者：Jingxiong ZHANG ; Yunwei TANG
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2012
卷号：15
期号：3
页码：171-175
DOI：10.1080/10095020.2012.715874
出版社：Taylor and Francis Ltd
摘要：It is important to describe misclassification errors in land cover maps and to quantify their propagation through geo-processing to resultant information products, such as land cover change maps. Geostatistical simulation is widely used in error modeling, as it can generate equal-probable realizations of the fields being considered, which can be summarized to facilitate error propagation analysis. To fix noninvariance in indicator simulation, discriminant space-based methods were proposed to enhance consistency in area-class mapping and replicability in uncertainty modeling, as the former is achieved by imposing means while the latter is ensured by projecting spatio-temporal correlated residuals in discriminant space to geographic space through a mapping process. This paper explores discriminant models for error propagation in land cover change detection, followed by experiments based on bi-temporal remote sensing images. It was found that misclassification error propagation is effectively characterized with discriminant covariate-based stochastic simulation, where spatio-temporal interdependence is taken into account.
关键词：error propagation; area-class maps; land cover change; discriminant space; data class; information class; stochastic simulation