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    • GF-7 satellite imagery DSM improvement by fusing laser altimetry data without ground control points in mining areas

    • In the field of satellite remote sensing, experts have proposed a BP neural network method for the digital surface model of Gaofen-7 satellite images, which integrates satellite laser altimetry data. This method effectively improves the problem of low accuracy and quality of DSM elevation generated from satellite stereo images under uncontrolled conditions of gully development on the ground, and provides new ideas for the promotion and application of domestic high-resolution images and high-precision terrain modeling.
    • Vol. 29, Issue 9, Pages: 2700-2713(2025)   

      Received:14 September 2024

      Published:07 September 2025

    • DOI: 10.11834/jrs.20254406     

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  • Zhang Y L,Hu W M,Wei W,Qin K,Xu J X and Zhang W. 2025. GF-7 satellite imagery DSM improvement by fusing laser altimetry data without ground control points in mining areas. National Remote Sensing Bulletin, 29(9):2700-2713 DOI: 10.11834/jrs.20254406.
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MA Dehao 东南大学 交通学院
YU Xianwen 东南大学 交通学院
WANG Hao 东南大学 交通学院
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XIAO Chao 国防科技大学 电子科学学院
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相关机构

School of Transportation, Southeast University
Precision Regional Earth Modeling and Information Center (PREMIC), Nanjing University of Information Science & Technology
School of Atmospheric Physics, Nanjing University of Information Science & Technology
School of Emergency Management, Nanjing University of Information Science & Technology
College of Electronic Science and Technology, National University of Defense Technology
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