标题：Video Map: A Realtime Orthographic Geo-Image Considering DEM and Semantic Information

作者：Zhang Xingguo, Li Xiaodi, Ren Shuai, Liu Mohan, Yang Sen

来源出版物：PLoS One

DOI：10.1371/journal.pone.0323669

出版年：2025

文献类型：Article

语种：英文

摘要：Aiming at the problem that it is difficult to accurately calibrate massive Pan-Tilt-Zoom Camera (PTZ) cameras on telecommunication tower and the visualization effect of orthographic geo-image is poor, this paper proposes a new method of realtime orthographic geo-image generating, which is considering Digital Elevation Model (DEM) and semantic information (ROGI-DS). First, through integrating tower cameras with 3D GIS, a camera calibration method based on view fitting (3D GIS-GeoC) is designed. Then, using the trained semantic segmentation model (TCSM), the sky area can automatically be identified and removed. Finally, based on the results of camera calibration and viewshed analysis, and the orthographic geo-image are generated. The results show that: (1) 3D GIS-GeoC method outperforms the traditional Perspective-n-Point (PnP) algorithm; (2) The tower camera semantic segmentation model (TCSM) achieves an accuracy of 96.7%; (3) ROGI-DS method improves the accuracy and visualization of orthographic geo-image under different terrain constraints, and can be used real-time monitoring of natural resources and emergency reliefs.

关键词：VideoGIS; orthographic geo-image; geographic mapping; deep learning

影响因子：2.9

论文链接：https://doi.org/10.1371/journal.pone.0323669

（地理科学学院 吴家辉 崔向超/初审  闫军辉/复审 韩勇/终审）