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An edge-oriented approach to thematic map error assessment

机译:面向边缘的专题地图误差评估方法

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摘要

The objective of this analysis is to develop a method of classification error assessment that can contribute to techniques designed to evaluate change products with an emphasis on edge locations in landscapes. Reference land-cover data were developed within 10 randomly sampled regions across the study site, approximately 9 km ~2 each. Sample pixels were partitioned and allocated among two domain categories, interior and edge. The assignment of pixels to domain categories was based on neighbourhood heterogeneity. Classification error was assessed within domain categories on a pixel-by-pixel basis, evaluating agreement between map values and majority land cover. To demonstrate the methodology, we present summary results for this technique applied to a land-cover classification of south-central Indiana. Omission error was less than 8.3% within interior domains and from 25.8% to 36.4% in the edge. Commission error was below 26.7% within the interior domains and ranged from 13.9 to 74.6% in the edge domains.
机译:该分析的目的是开发一种分类误差评估方法,该方法可有助于设计用于评估变化产品的技术,重点是景观中的边缘位置。在研究地点的10个随机采样区域内开发了参考土地覆盖数据,每个区域约9 km〜2。样本像素在内部和边缘两个域类别中进行了划分和分配。像素对域类别的分配基于邻域异质性。在域类别内逐像素评估了分类误差,评估了地图价值与多数土地覆被之间的一致性。为了演示该方法,我们提供了该技术应用于印第安纳中南部土地覆盖分类的摘要结果。内部区域的遗漏误差小于8.3%,边缘区域的遗漏误差小于25.8%至36.4%。内部区域的佣金误差低于26.7%,边缘区域的佣金误差范围为13.9至74.6%。

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