Abstract
To achieve photogrammetry without ground control points (GCPs), the precise measurement of the exterior orientation elements for the remote sensing camera is particularly important. Currently, the satellites are equipped with a GPS receiver, so that the accuracy of the line elements of the exterior orientation elements could reach centimeter-level. Furthermore, the high-precision angle elements of the exterior orientation elements could be obtained through a star camera which provides the direction reference in the inertial coordinate system and star images. Due to the stress release during the launch and the changes of the thermal environment, the installation matrix is variable and needs to be recalibrated. Hence, we estimate the cosine angle vector invariance of a remote sensing camera and star camera which are independent of attitude, and then we deal with long-term on-orbit data by using batch processing to realize the accurate calibration of the installation matrix. This method not only removes the coupling of attitude and installation matrix, but also reduces the conversion error of multiple coordinate systems. Finally, the geo-positioning accuracy in planimetry is remarkably higher than the conventional method in the simulation results.
Highlights
A high-resolution satellite image (HRSI) is important for high-precision geospatial information.It is widely used in many fields such as 3D shoreline extraction and coastal mapping, Digital TerrainModel (DTM) and Digital Surface Model (DSM) generation and national topographic mapping.Many of the above remote sensing applications require an HRSI with high accuracy [1]
The method of obtaining the exterior orientation elements of the remote sensing camera directly through the ground control points (GCPs) will lead to a strong correlation of the azimuth parameters, which leads to errors in the solution of the installation matrix [11]
The reason is we use a joint calculation method with multi-frame data, and the random error of the image points in the star camera and the remote sensing camera will not affect the calibration of the installation matrix
Summary
A high-resolution satellite image (HRSI) is important for high-precision geospatial information. After the launch of the SPOT-5 satellite in 2002, the French Space Center established the angle error model of the optical axis between the star sensor and remote sensing camera. The positioning accuracy of SPOT-5 single scene without GCP could reach 50 m [7] This method establishes the basic on-orbit calibration process of the installation matrix, but it does not research the requirements of GCPs and the real orientation of each pixel [8]. The method of obtaining the exterior orientation elements of the remote sensing camera directly through the GCPs will lead to a strong correlation of the azimuth parameters, which leads to errors in the solution of the installation matrix [11].
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