Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 5, 43(2024)

The RFM Iterative Adjustment Method for Optical Satellite Remote Sensing Imagery

Junpeng YU, Zilong ZHANG, and Xinyu LI
Author Affiliations
  • School of Civil and Traffic Engineering, Guangdong University of Technology, Guangzhou 510006, China
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    References(7)

    [11] L C CHEN, T A TEO, C L LIU. The Geometrical Comparisons of RSM and RFM for FORMOSAT-2 Satellite Images. Photogrammetric Engineering & Remote Sensing, 72, 573-579(2006).

    [12] X TONG, S LIU, Q WENG. Bias-Corrected Rational Polynomial Coefficients for High Accuracy Geo-Positioning of QuickBird Stereo Imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 65, 218-226(2010).

    [15] Taoyang WANG, Guo ZHANG, Deren LI et al. Comparison between Plane and Stereo Block Adjustment for ZY-3 Satellite Images. Journal of Journal of Geodesy and Geoinformation Science, 1, 53-60(2018).

    [19] [19] CAO H, TAO P, LIU Y, et al. Nonlinear Systematic Disttions Compensation in Satellite Images Based on an Equivalent Geometric Sens Model Recovered From RPCs[J]. IEEE Journal of ed Topics in Applied Earth Observations Remote Sensing, 2021, 14: 1208812102. DOI: 10.1109JSTARS.2021.3130072.

    [21] [21] SAEID G, ALIREZA A S, SAYYED H A M, et al. An Automated PCABased Approach Towards Optimization of The Rational Function Model[J]. ISPRS Journal of Photogrammetry Remote Sensing, 2020, 165: 133139.

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    Junpeng YU, Zilong ZHANG, Xinyu LI. The RFM Iterative Adjustment Method for Optical Satellite Remote Sensing Imagery[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(5): 43

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    Paper Information

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    Received: Mar. 6, 2024

    Accepted: --

    Published Online: Nov. 13, 2024

    The Author Email:

    DOI:10.3969/j.issn.1009-8518.2024.05.005

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