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Ortho-NeRF:generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images

Shihan Chen Qingsong Yan Yingjie Qu Wang Gao Junxing Yang Fei Deng

地球空间信息科学学报（英文版）2025，Vol.28Issue(2)：中插21,741-760,21.

地球空间信息科学学报（英文版）2025，Vol.28Issue(2)：中插21,741-760,21.DOI:10.1080/10095020.2023.2296014

Ortho-NeRF:generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images

Shihan Chen ¹Qingsong Yan ¹Yingjie Qu ¹Wang Gao ²Junxing Yang ³Fei Deng⁴

作者信息

1. School of Geodesy and Geomatics,Wuhan University,Wuhan,China
2. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory,Beijing,China
3. School of Geomatics and Urban Spatial Informatics,Beijing University of Civil Engineering and Architecture,Beijing,China
4. School of Geodesy and Geomatics,Wuhan University,Wuhan,China||Wuhan Tianjihang Information Technology Co.Ltd,Wuhan,China
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摘要

关键词

Neural radiance field/neural implicit representations/True Digital Orthophoto Map(TDOM)/Unmanned Aerial Vehicle(UAV)/true-ortho-volume rendering

Key words

Neural radiance field/neural implicit representations/True Digital Orthophoto Map(TDOM)/Unmanned Aerial Vehicle(UAV)/true-ortho-volume rendering

引用本文复制引用

Shihan Chen,Qingsong Yan,Yingjie Qu,Wang Gao,Junxing Yang,Fei Deng..Ortho-NeRF:generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images[J].地球空间信息科学学报（英文版）,2025,28(2):中插21,741-760,21.

基金项目

This study was funded by the Department of Science and Technology of Hubei Province People's Government[grant number 2022BAA035]. （）

地球空间信息科学学报（英文版）

ISSN：1009-5020

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