RTO-LLI: Robust Real-Time Image Orientation Method With Rapid Multilevel Matching and Third-Times Optimizations for Low-Overlap Large-Format UAV Images
-
-
DOI number:
10.1109/tgrs.2025.3559983
-
Affiliation of Author(s):
Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430072, Peoples R China
-
-
Journal:
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
-
-
Funded by:
This work was supported in part by the National Natural Science Foundation of China under Grant 4210
-
Key Words:
Real-time systems,Autonomous aerial vehicles,Pose estimation,Photogrammetry,Image sequences,Feature extraction,Accuracy,Optimization,Three-dimensional displays,Simultaneous localization and mapping,High-precision real-time orientation for low-overlap images,multilevel pose optimization,robust real-time matching for low-overlap large-format images,UAV images,unmanned aerial vehicle (UAV) photogrammetry
-
Abstract:
Unmanned aerial vehicle (UAV) real-time photogrammetry is important to promote the rapid generation of photogrammetry 4-D product, intelligent information extraction and rapid remote sensing mapping, and efficient large-scale 3-D modeling. However, for real-time processing of low-overlap large-format image sequence, there remain two challenges: 1) large-format images result in greater data volume and computational load, posing challenges for real-time online processing on regular-performance computing units, requiring more efficient algorithms and 2) low-overlap images make it difficult for ma
-
-
Co-author:
Deren,Li, Jianya,Gong, Zhenfeng,Shao, Gui-Song,Xia
-
-
Indexed by:
Journal paper
-
Correspondence Author:
Zihao,Zhang, Xiongwu,Xiao
-
-
-
-
Document Type:
Article
-
Volume:
63
-
-
-
-
ISSN No.:
0196-2892
-
Translation or Not:
no
-
-
Date of Publication:
1905-07-17
-
-