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Related Experiment Video

Updated: Dec 6, 2025

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

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On-Orbit Calibration of Installation Matrix between Remote Sensing Camera and Star Camera Based on Vector Angle

Yujie Tang¹, Zhenzhong Wei¹, Xinguo Wei¹

¹School of Instrumentation and Opto-electronic Engineering, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)

|October 6, 2020

Summary

This summary is machine-generated.

Precise satellite photogrammetry without ground control points (GCPs) is achieved by calibrating the installation matrix. This method improves geo-positioning accuracy by estimating invariant cosine angle vectors between cameras.

Keywords:

geo-positioning accuracy star camera vector angle invariance

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Area of Science:

Geospatial science
Remote sensing technology
Photogrammetry

Background:

Accurate exterior orientation elements are crucial for satellite photogrammetry without ground control points (GCPs).
Existing methods rely on GPS for centimeter-level accuracy of line elements and star cameras for angle elements, but installation matrices require recalibration due to environmental changes.
The variability of the installation matrix necessitates robust calibration methods for long-term on-orbit data.

Purpose of the Study:

To develop an accurate calibration method for the installation matrix of remote sensing cameras.
To improve geo-positioning accuracy in satellite photogrammetry by removing the coupling of attitude and installation matrix.
To reduce coordinate system conversion errors in remote sensing applications.

Main Methods:

Estimating the cosine angle vector invariance between a remote sensing camera and a star camera, independent of satellite attitude.
Utilizing batch processing on long-term on-orbit data for accurate installation matrix calibration.
Leveraging star camera data for precise direction reference in the inertial coordinate system.

Main Results:

The proposed method effectively calibrates the installation matrix without relying on ground control points (GCPs).
Simulation results show a remarkable improvement in planimetric geo-positioning accuracy compared to conventional methods.
The method successfully removes the coupling between attitude and installation matrix, enhancing overall accuracy.

Conclusions:

The developed technique provides a robust solution for accurate on-orbit calibration of satellite remote sensing cameras.
This approach significantly enhances geo-positioning accuracy, enabling more precise mapping and analysis.
The method offers a valuable advancement for photogrammetry applications requiring high precision without GCPs.