Abstract
Abstract. The accurate positioning of optical satellite image without control is the precondition for remote sensing application and small/medium scale mapping in large abroad areas or with large-scale images. In this paper, aiming at the geometric features of optical satellite image, based on a widely used optimization method of constraint problem which is called Alternating Direction Method of Multipliers (ADMM) and RFM least-squares block adjustment, we propose a GCP independent block adjustment method for the large-scale domestic high resolution optical satellite image – GISIBA (GCP-Independent Satellite Imagery Block Adjustment), which is easy to parallelize and highly efficient. In this method, the virtual "average" control points are built to solve the rank defect problem and qualitative and quantitative analysis in block adjustment without control. The test results prove that the horizontal and vertical accuracy of multi-covered and multi-temporal satellite images are better than 10 m and 6 m. Meanwhile the mosaic problem of the adjacent areas in large area DOM production can be solved if the public geographic information data is introduced as horizontal and vertical constraints in the block adjustment process. Finally, through the experiments by using GF-1 and ZY-3 satellite images over several typical test areas, the reliability, accuracy and performance of our developed procedure will be presented and studied in this paper.
Highlights
In recent years, the resolution of space and radiation of domestic satellite has been improved significantly
In term of the accuracy of the imagery GCPindependent positioning, the “ZY-3” satellite image has been improved to 15m after the calibration and the internal precision is better than 1 pixel, after the overall block adjustment without GCP, the plane and elevation accuracy of the image can be further increased to 5m [1] [2][6][7][8]; the measured results of the “TH” satellite center show that, the root mean square error (RMSE) of “TH-1” satellite was 10.3m/5.7m after seven calibrations in China, and the accuracy of the satellite was equal to the accuracy of satellite 01 [3][4]
The advantage of alternating direction method is that it is suitable for parallel processing, because the solving of the affine transformation parameters of each image and the calculation of object space coordinates of each tie point are independent of each other, the disadvantage of it is the high number of iterations, but for this article, the initial value of all unknowns that need adjustment has meet the requirements
Summary
The resolution of space and radiation of domestic satellite has been improved significantly. When carrying the high-precision and GCP-independent positioning of domestic high-resolution satellite images, due to the lack of control point constraints, using the parameters which need adjustment as the free unknown parameter would lead to the morbid (rank loss) of the normal equation matrix, that will result in the instability of the adjustment accuracy and the distortion of the triangulation caused by the error excessive accumulation. Using the initial RPC model of image needing adjustment to generate a uniform distributed virtual control points, and using these virtual control points as weighted observations, introducing them into the adjustment model to carry out the block adjustment in the area without ground control [6]-[8] Another kind of methods is to carry out "GCP-independent" block adjustment by introducing multi-source control information (SAR image, high precision optical satellite image) [9]-[10]. Through the experiments on ZY-3, GF-1 satellite images over several typical test areas, the reliability, accuracy and performance of our method are verified and studied in this paper
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
