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

Author:

Chen Shihan1ORCID,Yan Qingsong1ORCID,Qu Yingjie1ORCID,Gao Wang2ORCID,Yang Junxing3ORCID,Deng Fei14ORCID

Affiliation:

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. Wuhan Tianjihang Information Technology Co. Ltd, Wuhan, China

Funder

Department of Science and Technology of Hubei Province

Publisher

Informa UK Limited

Reference76 articles.

1. Agisoft. 2022. “Discover Intelligent Photogrammetry with Metashape.” Accessed September 1 2022. https://www.agisoft.com/.

2. The Generation of True Orthophotos Using a 3D Building Model in Conjunction with a Conventional DTM;Amhar F.;International Archives of Photogrammetry and Remote Sensing,1998

3. Bang, K., A. F. Habib, S. Shin, and K. Kim. 2007. “Comparative Analysis of Alternative Methodologies for True Ortho-Photo Generation from High Resolution Satellite Imagery.” Paper presented at American Society for Photogrammetry and Remote Sensing Annual Conference, Tampa, Florida, USA, May 7–11.

4. UAV-Based Orthophoto Generation in Urban Area: The Basilica of Santa Maria di Collemaggio in L’Aquila

5. Bentley. 2022. “ContextCapture Viewer.” Accessed September 1 2022. https://www.bentley.com/software/contextcapture-viewer/.

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