Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned a...
Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images
About this item
Full title
Author / Creator
Chen, Shihan , Yan, Qingsong , Qu, Yingjie , Gao, Wang , Yang, Junxing and Deng, Fei
Publisher
Taylor & Francis Group
Journal title
Language
English
Formats
Publication information
Publisher
Taylor & Francis Group
Subjects
More information
Scope and Contents
Contents
True Digital Orthophoto Maps (TDOMs) have high geometric accuracy and rich image characteristics, making them essential geographic data for national economic and social development. Complex terrain and artificial structures, automatic distortion elimination and occluded area recovery in TDOM generation pose significant challenges. Hence, the need f...
Alternative Titles
Full title
Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d895f7ce724e49e58aa0f744ed197094
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d895f7ce724e49e58aa0f744ed197094
Other Identifiers
ISSN
1009-5020
E-ISSN
1993-5153
DOI
10.1080/10095020.2023.2296014
