测绘通报 ›› 2018, Vol. 0 ›› Issue (6): 22-26.doi: 10.13474/j.cnki.11-2246.2018.0170

• 学术研究 • 上一篇    下一篇

结合形态学和光谱特征参数的建筑物阴影提取及其高度估算

胡云锋1, 张千力1,2   

  1. 1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京 100101;
    2. 中国科学院大学, 北京 100101
  • 收稿日期:2017-08-11 出版日期:2018-06-25 发布日期:2018-07-07
  • 作者简介:胡云锋(1974-),男,博士,主要从事土地覆被变化研究。E-mail:huyf@lreis.ac.cn
  • 基金资助:
    国家重点研发项目(2016YFB0501502;2016YFC0503701);高分专项(00-Y30B14-9001-14/16)

The Extraction of Building Shadow and the Estimation of Building Heights Based on Morphology and Spectral Characteristic Parameters

HU Yunfeng1, ZHANG Qianli1,2   

  1. 1. Institute of Geographic Sciences and National Resources Research, LREIS, Chinese Academy of Sciences, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100101, China
  • Received:2017-08-11 Online:2018-06-25 Published:2018-07-07

摘要: 建筑物高度信息对城市景观规划设计、城市人居和生态环境评估等都具有重要作用。针对当前卫星遥感影像提取建筑物高度研究中存在精度较低、人工干预程度过多的问题,本文基于GF-2卫星遥感影像数据,综合建筑物阴影指数(EMSI)、归一化植被指数(NDVI)和地表反射率等3个参数,实现了建筑物阴影的自动化提取,进而依据空间几何学关系,实现了建筑物高度的快速估算,最后对研究结果进行了实地检验。研究表明,利用建筑物阴影指数、NDVI、地表反射率等3个参数可有效提取建筑物阴影,且利用建筑物阴影进行建筑物高度估算的平均精度达到了95.40%,证明了高分二号卫星影像在提取建筑物高度方面具有较高的可行性。

关键词: 建筑物高度, 形态学, 光谱, 阴影提取, 高分二号卫星

Abstract: Building heights are important for urban landscape planning,city habitat and eco-environmental assessment.In order to solve the problem of low accuracy in the study of extracting building height by using remote sensing images and the problem of excessive human intervention,this paper uses GF-2 satellite images to realize the automatic extraction of building shadows by calculating EMSI,NDVI and land surface reflectance.And then it calculates the height of the building based on the spatial geometric relationship.Finally,the results of the study are field tested.Experimental results show that using EMSI,NDVI and land surface reflectance can effectively extract the shadow of the building,and the mean accuracy of the estimations reach 95.40%,which proves the high feasibility of GF-2 images in estimating building heights.

Key words: building heights, morphology, spectrum, shadow extraction, GF-2 satellite

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