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Generation of pixel-level resolution lunar DEM based on Chang'E-1 three-line imagery and laser altimeter data

机译:基于Chang'E-1三线图像和激光高度计数据的像素级分辨率月球DEM的生成

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摘要

Acquiring high resolution topography products of the Moon is an important issue for further lunar exploration. In this paper, we present a data processing flow of 3D reconstruction based on Chang'E-1 (CE-1) three-line imagery (120 m) and laser altimeter (LAM) data to acquire pixel-level resolution DEM. First, initial global disparity estimation was generated, and then corresponding points were acquired pixel-by-pixel by Adaptive Support-Weight Approach. A Least Square Image matching method was used to achieve sub-pixel accuracy, ultimately resulting in pixel-level resolution DEM (120 m). Global lunar 100 m DEM (GLD100 DEM) from LROC WAC stereo imagery is employed for comparison analysis and the mean elevation difference between two DEMs is less than 120 m. Experimental results show that the processing flow is effective and reliable for acquiring pixel-level DEM based on CE-1 data.
机译:获得月球的高分辨率地形产品是进一步探月的重要问题。在本文中,我们提出了基于Chang'E-1(CE-1)三线图像(120 m)和激光高度计(LAM)数据的3D重建数据处理流程,以获取像素级分辨率DEM。首先,生成初始全局视差估计,然后通过自适应支持权重方法逐像素获取对应点。使用最小二乘图像匹配方法来实现亚像素精度,最终产生像素级分辨率DEM(120 m)。 LROC WAC立体影像的全球月球100 m DEM(GLD100 DEM)用于比较分析,两个DEM之间的平均高程差小于120 m。实验结果表明,该处理流程对于基于CE-1数据的像素级DEM的获取是有效和可靠的。

著录项

  • 来源
    《Computers & geosciences》 |2013年第9期|53-59|共7页
  • 作者单位

    School of Geography, Beijing Normal University, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;

    School of Geography, Beijing Normal University, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;

    School of Geography, Beijing Normal University, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;

    School of Geography, Beijing Normal University, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;

    School of Geography, Beijing Normal University, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China;

    Cuang Xi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, Guangxi, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lunar DEM; Pixel-level resolution; Adaptive support-weight approach;

    机译:月球DEM;像素级分辨率;自适应支持权法;

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