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arXiv 2403.00166physics.soc-ph
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迈向跨城乡连续体的遥感建成区图层局部精度评估

Towards localized accuracy assessment of remote-sensing derived built-up land layers across the rural-urban continuum

Johannes H. Uhl, Stefan Leyk

AI总结:

针对城乡梯度上类别不平衡和样本量差异问题,本文利用 Global Human Settlement Layer 与地籍/建筑足迹参考数据,评估常用空间一致性度量用于建成区图层局部精度表征的适用性。

摘要:

遥感衍生建成区数据的精度评估是二值地图比较的一个特定案例,其中类别不平衡在城乡轨迹上差异显著。因此,此类数据集的局部精度表征需要对低样本量和不同类别不平衡水平具有稳健性的特定策略。本文利用 Global Human Settlement Layer(全球人居图层)以及由地籍和建筑足迹数据衍生的建成区参考数据库,检验了常用空间一致性度量在跨城乡连续体的建成区图层局部精度表征中的适用性。

英文摘要:

The accuracy assessment of remote-sensing derived built-up land data represents a specific case of binary map comparison, where class imbalance varies considerably across rural-urban trajectories. Thus, local accuracy characterization of such datasets requires specific strategies that are robust to low sample sizes and different levels of class imbalance. Herein, we examine the suitability of commonly used spatial agreement measures for their localized accuracy characterization of built-up land layers across the rural-urban continuum, using the Global Human Settlement Layer and a reference database of built-up land derived from cadastral and building footprint data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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