Conflating/stitching 2.5D raster digital surface models (DSM) into a large one has been a running practice in geoscience applications, however, conflating full-3D mesh models, such as those from oblique photogrammetry, is extremely challenging. In this letter, we propose a novel approach to address this challenge by conflating multiple full-3D oblique photogrammetric models into a single, and seamless mesh for high-resolution site modeling. Given two or more individually collected and created photogrammetric meshes, we first propose to create a virtual camera field (with a panoramic field of view) to incubate virtual spaces represented by Truncated Signed Distance Field (TSDF), an implicit volumetric field friendly for linear 3D fusion; then we adaptively leverage the truncated bound of meshes in TSDF to conflate them into a single and accurate full 3D site model. With drone-based 3D meshes, we show that our approach significantly improves upon traditional methods for model conflations, to drive new potentials to create excessively large and accurate full 3D mesh models in support of geoscience and environmental applications.

翻译：将2.5维栅格数字表面模型融合/拼接为大规模模型已是地球科学领域的常用实践，然而融合全三维网格模型（如倾斜摄影测量生成的模型）极具挑战性。本文提出一种新型方法应对该挑战：将多个全三维倾斜摄影测量模型融合为单一无缝网格，实现高分辨率场地建模。针对分别采集创建的两个及以上摄影测量网格，我们首先提出构建虚拟相机场（具备全景视场）以孕育由截断符号距离场（一种利于线性三维融合的隐式体素场）表征的虚拟空间；进而自适应利用网格在TSDF中的截断边界，将其融合为单一精准的全三维场地模型。通过无人机三维网格实测验证，本方法显著优于传统模型融合方案，为创建超大规模精准全三维网格模型开辟新路径，有力支撑地球科学与环境领域应用。