Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1028005(2025)

High-Precision Positioning Method for High-Resolution Optical Satellite Imagery Accelerated by PCG-GPU Without GCPs

Qing Fu1...2,3, Jun Chen1,2,3, Weijian Liang1,2,3,*, and Wenlang Luo1,23 |Show fewer author(s)
Author Affiliations
  • 1Jiangxi Province Key Laboratory of Electronic Data Control and Forensics, Ji'an 343009, Jiangxi , China
  • 2School of Electronics and Information Engineering, Jinggangshan University, Ji'an 343009, Jiangxi , China
  • 3Ji'an Key Laboratory of Agricultural Remote Sensing, Ji'an 343009, Jiangxi , China
  • show less

    This study introduces a high-precision geometric positioning method for high-resolution optical satellite imagery that does not rely on ground control points (GCPs), utilizing preconditioned conjugate gradient (PCG) and graphics processing unit (GPU) acceleration. The core technologies used in this method include an adjustment model that is constructed based on virtual control points (VCPs), a sparse matrix storage format, and parallel block adjustment accelerated by PCG-GPU. By employing a sparse matrix storage format to reduce computer memory requirements, PCG-GPU parallel acceleration technology enhances the efficiency of block adjustment parameter processing. Experimental verification is performed using 829 Ziyuan-3 (ZY-3) satellite images from Jiangxi area. The results show that the proposed PCG-GPU accelerated parallel block adjustment method is approximately 9.5 times more efficient than traditional serial computing methods. In addition, following block adjustment, the root mean square error (RMSE) is 0.461 pixel and 0.652 pixel in the x and y directions, respectively, which meets the stringent accuracy requirements for high-precision satellite image mapping.

    Keywords
    Tools

    Get Citation

    Copy Citation Text

    Qing Fu, Jun Chen, Weijian Liang, Wenlang Luo. High-Precision Positioning Method for High-Resolution Optical Satellite Imagery Accelerated by PCG-GPU Without GCPs[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1028005

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 28, 2024

    Accepted: Nov. 26, 2024

    Published Online: Apr. 27, 2025

    The Author Email: Liang Weijian (9920150045@jgsu.edu.cn)

    DOI:10.3788/LOP242166

    CSTR:32186.14.LOP242166

    Topics