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DEM 网格间距对重力近区地形改正精度影响及验证
引用本文:高云军,刘召芹,万文辉,孔振.DEM 网格间距对重力近区地形改正精度影响及验证[J].测绘工程,2016,25(8):14-18.
作者姓名:高云军  刘召芹  万文辉  孔振
作者单位:山东科技大学,山东 青岛 266590;中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京 100101;中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京,100101
基金项目:国家973课题(2013CB733202);国家自然科学基金资助项目(41471388)
摘    要:利用分形随机算法建立平地、丘陵和山地3种精细地形仿真场景,将DEM逐级重采样为不同网格间距,分析不同DEM网格间距对3种地形的重力近区地形改正误差影响。发现随着DEM网格间距的增加,近区地形改正误差随之增大。对于平地,使用1∶10 000的DEM,网格间距为5m仍能够满足规范要求;对于丘陵地,使用1∶5 000的DEM,网格间距为2.5m能够满足规范要求;对于山地,使用1∶1 000的DEM,网格间距1m能够满足规范要求。通过消费级无人机获取丘陵地精细地形,验证地形仿真的结论,同时说明消费级无人机能够应用于重力近区地形改正。

关 键 词:地形仿真  DEM  网格间距  重力近区地形改正  消费级无人机

Influence and verification of DEM grid spacing on the accuracy of gravity near-region terrain correction
GAO Yunjun,LIU Zhaoqin,WAN Wenhui,KONG Zhen.Influence and verification of DEM grid spacing on the accuracy of gravity near-region terrain correction[J].Engineering of Surveying and Mapping,2016,25(8):14-18.
Authors:GAO Yunjun  LIU Zhaoqin  WAN Wenhui  KONG Zhen
Abstract:T his paper first establishes a fine terrain simulation in flat region , hilly region and mountain region using random fractal algorithm .Then ,the DEM is resampled in different grid spacing .Lastly ,the influence of different grid spacing on three terrain of gravity near‐region correction is analyzed in this way . The error of gravitynear‐region correction increases as DEM grid spacing increases .In flat region ,the calculated DEM data with 1 ∶ 1 000 scales and grid spacing of 5 m can meet the requirements of specifications .In hilly region ,the calculated DEM data with 1∶5 000 scales and grid spacing of 2 .5 m can meet the requirements of specifications .And in mountain region ,the calculated DEM data with 1∶1 000 scales and grid spacing of 1m can also meet the requirements of specifications .In this research ,the results of terrain simulation are verified with a fine terrain in hilly region acquiring with consumer UAV (Unmanned Aerial Vehicle) .And it shows that consumer UAV can be applied to the terrain correction of gravity .
Keywords:terrain simulation  DEM  grid spacing  gravity near-region terrain correction  consumer UAV
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