English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

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

Mesh Conflation of Oblique Photogrammetric Models using Virtual Cameras and Truncated Signed Distance Field