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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.
    • Pages: 1-13(2025)   

      Received:14 September 2024

      Published Online:27 May 2025

    • DOI: 10.11834/jrs.20254406     

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  • Zhang Yunlong,Hu Wenmin,Wei Wei,Qin Kai,Xu Jiaxing,Zhang Wei. XXXX. GF-7 Satellite Imagery DSM Improvement by Fusing Laser Altimetry Data without Ground Control Points in Mining Areas. National Remote Sensing Bulletin, XX(XX):1-13 DOI: 10.11834/jrs.20254406.
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相关作者

ZHOU Yongbo 南京信息工程大学 大气物理学院;南京信息工程大学 精细化区域地球模拟与信息中心
HE Mingfeng 南京信息工程大学 应急管理学院
YING Xinyi 国防科技大学 电子科学学院
XIAO Chao 国防科技大学 电子科学学院
AN Wei 国防科技大学 电子科学学院
LI Zhaoxu 国防科技大学 电子科学学院
LI Boyang 国防科技大学 电子科学学院
LIN Zaiping 国防科技大学 电子科学学院

相关机构

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
University of Chinese Academy of Sciences
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