论文标题
数字高程模型（DEM）融合的系统评价和荟萃分析：预处理，方法和应用
A systematic review and meta-analysis of Digital Elevation Model (DEM) fusion: pre-processing, methods and applications
论文作者
论文摘要
遥感社区已将数据融合确定为21世纪的主要挑战性主题之一。在几项发表的评论中涵盖了二维（2D）空间中图像融合的主题。但是，迄今为止，尚未解决2.5D/3D数字高程模型（DEM）融合的特殊情况。 DEM融合是数据融合在遥感中的关键应用。它利用多源DEM的互补特性来提供更完整，准确和可靠的高程数据集。尽管已经开发了几种用于融合DEM的方法，但缺乏全面的评论限制了研究人员和最终用户的扩散。通常需要将知识结合在一起，以告知整体观点并指导进一步的研究。作为回应，本文提供了对DEM融合的系统综述：通过荟萃分析增强的预处理工作流，方法和应用。通过讨论和比较分析，确定了未解决的挑战和开放问题，并提出了未来的研究方向。这篇综述是及时的解决方案，也是遥感和空间信息科学领域的研究人员以及整个数据融合社区的宝贵信息来源。
The remote sensing community has identified data fusion as one of the key challenging topics of the 21st century. The subject of image fusion in two-dimensional (2D) space has been covered in several published reviews. However, the special case of 2.5D/3D Digital Elevation Model (DEM) fusion has not been addressed till date. DEM fusion is a key application of data fusion in remote sensing. It takes advantage of the complementary characteristics of multi-source DEMs to deliver a more complete, accurate and reliable elevation dataset. Although several methods for fusing DEMs have been developed, the absence of a well-rounded review has limited their proliferation among researchers and end-users. It is often required to combine knowledge from multiple studies to inform a holistic perspective and guide further research. In response, this paper provides a systematic review of DEM fusion: the pre-processing workflow, methods and applications, enhanced with a meta-analysis. Through the discussion and comparative analysis, unresolved challenges and open issues were identified, and future directions for research were proposed. This review is a timely solution and an invaluable source of information for researchers within the fields of remote sensing and spatial information science, and the data fusion community at large.
