首页|基于复杂阴影测量方法的建筑物高度反演

基于复杂阴影测量方法的建筑物高度反演

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
阴影法能以较低的成本测量大范围的城市建筑物高度,但其中的阴影长度测量方法在复杂阴影场景中存在测量效率低、精度差、鲁棒性低等问题.对此,该文提出了一种复杂建筑阴影测量方法.该方法首先通过渔网法和多种约束条件相结合实现对阴影的测量与划分;其次,统计所有划分区域的阴影长度值,利用四分位法和双向逼近策略确定阴影最优值;然后,综合评估所有区域最优值确定阴影长度;最后,利用立体交会的建筑高度对应用该阴影测量方法计算的建筑物高度进行验证.结果表明:该方法计算建筑物高度有90.6％以上绝对误差在0～5 m之间.因此可以得出该文方法计算的阴影长度有着较高的精度,能够满足不同种类的复杂阴影测量,提高了阴影法反演建筑物高度的精度,为城市建筑物高度的反演提供新的技术支撑.
Building height inversion based on the complex shadow measurement method
Building heights are necessary for urban informatics,providing a significant basis for the planning and early warning of risks for urban construction.The shadow method,which can measure the heights of urban buildings on a large scale at a low cost,faces challenges such as low efficiency,accuracy,and robustness in building height inversion in complex shadow scenes.This study proposed a measurement method for these scenes.First,the shadows were measured and delineated using the fishing net method combined with multiple constraints.Second,the shadow lengths of all the zones divided were obtained,and the optimal values were determined using the quartile method and the bidirectional approximation strategy.Third,the shadow lengths were determined through a comprehensive assessment of the optimal values of all zones.The results show that 90.6％of building heights calculated using the new method exhibited absolute errors ranging from 0 to 5 m.Therefore,this method features elevated accuracy of building height inversion for various complex shadow scenes,laying a basis for research into the inversion and expansion of urban building heights.

fishing net methodzonal statisticsquartile method to eliminate gross errorbidirectional approxima-tion strategyoptimal value evaluation

李志新、纪松、范大昭、高定、李永建、王刃

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信息工程大学地理空间信息学院,郑州 450001

山东五征集团,日照 276800

渔网法 分区统计 四分位法剔除粗差 双向逼近策略 最优值评估

国家自然科学基金项目嵩山实验室项目国防科工局项目

41971427221100211000-542-Y30B04-9001-19/21

2024

10.6046/zrzyyg.2023121

自然资源遥感
中国国土资源航空物探遥感中心

自然资源遥感

CSTPCD北大核心
影响因子：1.275
ISSN：2097-034X
年,卷(期)：2024.36(3)