A High-Precision Positioning Method Without Ground Control Points for Mosaic Aerial Survey Camera

Abstract. Mosaic aerial survey cameras facilitate large-format imaging by integrating multiple lenses and sensors. Nevertheless, the inherent complexity of their structural design gives rise to collimation axis eccentricity errors between the Position and Orientation System (POS) and the camera's optical center. Conventional methods, which rely on Ground Control Points (GCPs), fall short of fulfilling the demands for high-precision and high-efficiency surveying and mapping tasks. This manuscript presents a ground-control-point-free positioning approach grounded in “cloud control” photogrammetry technology. Leveraging publicly available Google images and Shuttle Radar Topography Mission (SRTM) elevation data as reference sources, a simultaneous solution for the exterior orientation elements of images and the collimation axis eccentricity angle of the Inertial Measurement Unit (IMU) is achieved through bundle adjustment. This process enables rigorous geometric calibration of the camera system. Experimental findings demonstrate that, in the absence of ground control points, the proposed method attains a planar positioning accuracy of 0.29 meters in the x-direction and 0.40 meters in the y-direction, along with a vertical positioning accuracy of 0.78 meters. These results satisfy the surveying and mapping accuracy criteria for a 1:500 scale, underscoring its significant potential for practical engineering applications.

Authors

Institutions

Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-12-31
DOI
https://doi.org/10.5194/isprs-archives-xlviii-1-w6-2025-259-2025
Primary Topic
Satellite Image Processing and Photogrammetry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A High-Precision Positioning Method Without Ground Control Points for Mosaic Aerial Survey Camera

Xiu Liu, Yansong Duan, Chang Yu
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Satellite Image Processing and Photogrammetry
article

A High-Precision Positioning Method Without Ground Control Points for Mosaic Aerial Survey Camera

Xiu Liu, Yansong Duan, Chang Yu
article en

Abstract

Abstract. Mosaic aerial survey cameras facilitate large-format imaging by integrating multiple lenses and sensors. Nevertheless, the inherent complexity of their structural design gives rise to collimation axis eccentricity errors between the Position and Orientation System (POS) and the camera's optical center. Conventional methods, which rely on Ground Control Points (GCPs), fall short of fulfilling the demands for high-precision and high-efficiency surveying and mapping tasks. This manuscript presents a ground-control-point-free positioning approach grounded in “cloud control” photogrammetry technology. Leveraging publicly available Google images and Shuttle Radar Topography Mission (SRTM) elevation data as reference sources, a simultaneous solution for the exterior orientation elements of images and the collimation axis eccentricity angle of the Inertial Measurement Unit (IMU) is achieved through bundle adjustment. This process enables rigorous geometric calibration of the camera system. Experimental findings demonstrate that, in the absence of ground control points, the proposed method attains a planar positioning accuracy of 0.29 meters in the x-direction and 0.40 meters in the y-direction, along with a vertical positioning accuracy of 0.78 meters. These results satisfy the surveying and mapping accuracy criteria for a 1:500 scale, underscoring its significant potential for practical engineering applications.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-1/W6-2025
Wuhan University (CN)
Openalex Percentile: Top 35%
Satellite Image Processing and Photogrammetry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A High-Precision Positioning Method Without Ground Control Points for Mosaic Aerial Survey Camera — Xiu Liu, Yansong Duan, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2025) | TGRS Research Map | TGRS