A ROBUST SURFACE MACTHING TECHNIQUE FOR DEM INTEGRATION IN THE CONTEXT OF COASTAL GEOHAZARD MONITORING
A ROBUST SURFACE MACTHING TECHNIQUE FOR DEM INTEGRATION IN THE CONTEXT OF COASTAL GEOHAZARD MONITORING
复制标题
沿海地质灾害监测背景下 DEM 集成的稳健地面机械技术
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
P. Miller
中科院分区：
文献类型：
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作者：
P. Miller
随着来自机载和地面激光扫描、InSAR 和高分辨率卫星遥感等来源的各种数据集的可用性不断增加，数据集集成的机会以及由此带来的协同效益有了更多的机会。然而，准确的配准是数据融合的基本前提，也是一个经常被忽视的问题。本文提出了一种通过整合机载和地面激光扫描数据集来提高沿海地质灾害监测有效性的策略。该方法基于稳健的最小二乘表面匹配技术，该技术能够可靠地协调不同的数据集，克服输入表面之间的差异。详细介绍了匹配算法的开发，该算法结合了鲁棒的 M 估计器函数。该方法在位于英格兰东海岸的测试站点的应用凸显了稳健匹配算法在数据集成方面的有效性，提高了所得表面模型的质量，并促进了对四个月期间变化的后续分析。鲁棒表面匹配是一种灵活的技术，它在一系列数据融合任务中显示出巨大的潜力，特别是在需要可靠的变化检测的情况下。
With the increasing availability of a diverse range of datasets from sources such as airborne and terrestrial laser scanning, InSAR, and high resolution satellite remote sensing, there are improved opportunities for dataset integration and the synergistic benefits which this can offer. However, accurate registration is a fundamental pre-requisite for data fusion, and an issue which is often overlooked. This paper presents a strategy for improving the effectiveness of coastal geohazard monitoring through the integration of airborne and terrestrial laser scanning datasets. This approach is based upon a robust least squares surface matching technique, which enables the reliable reconciliation of disparate datasets, overcoming disparities between the input surfaces. The development of the matching algorithm, which incorporates a robust M-estimator function, is detailed. Application of this approach to a test site located on the east coast of England highlights the effectiveness of the robust matching algorithm for data integration, improving the quality of the resultant surface models, and facilitating subsequent analysis of change over a four month period. Robust surface matching is a flexible technique, which shows significant potential for a range of data fusion tasks, particularly where there is also a requirement for reliable change detection.