| 注册
首页|期刊导航|自然资源遥感|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

李志新 纪松 范大昭 高定 李永建 王刃

自然资源遥感2024,Vol.36Issue(3):108-116,9.
自然资源遥感2024,Vol.36Issue(3):108-116,9.DOI:10.6046/zrzyyg.2023121

基于复杂阴影测量方法的建筑物高度反演

Building height inversion based on the complex shadow measurement method

李志新 1纪松 1范大昭 1高定 1李永建 1王刃2

作者信息

  • 1. 信息工程大学地理空间信息学院,郑州 450001
  • 2. 山东五征集团,日照 276800
  • 折叠

摘要

Abstract

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.

关键词

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

Key words

fishing net method/zonal statistics/quartile method to eliminate gross error/bidirectional approxima-tion strategy/optimal value evaluation

分类

计算机与自动化

引用本文复制引用

李志新,纪松,范大昭,高定,李永建,王刃..基于复杂阴影测量方法的建筑物高度反演[J].自然资源遥感,2024,36(3):108-116,9.

基金项目

国家自然科学基金项目"高分辨率卫星影像协同处理与定位能力星间传递技术研究"(编号:41971427)、嵩山实验室项目"空间智能融合感知技术及精密重建系统"(编号:221100211000-5)和国防科工局项目"高分遥感测绘应用示范系统(二期)"(编号:42-Y30B04-9001-19/21)共同资助. (编号:41971427)

自然资源遥感

OA北大核心CSTPCD

2097-034X

访问量0
|
下载量0
段落导航相关论文