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基于ALOS卫星图像阴影的天津市建筑物高度及分布信息提取
作者姓名:Zhang XM  He GJ  Wang W  Jiao WL  Wang QJ
作者单位:中国科学院对地观测与数字地球科学中心,北京,100194
基金项目:国家自然科学基金项目,天津主城区与塘沽地区下垫面信息提取,自然资源和地理空间基础信息库《卫星遥感数据分中心》建设项目
摘    要:光谱差异是提取建筑物阴影信息的一个重要依据.基于ALOS卫星图像阴影与建筑物高度关系的分析,文章阐述了依据阴影来估算建筑物高度的原理和方法,辅以数据融合的方法,利用多光谱影像中的光谱差异从ALOS全色图像中准确提取阴影信息,从而建立一种基于图像阴影提取城市建筑物高度及分布信息的标准化流程.同时,在天津的城市建筑物高度获取试验中,建筑物高度提取精度的抽样验证率达到87.6%,初步显示出了 ALOS卫星数据在城市建筑物高度测量方面的巨大潜力.

关 键 词:高分辨率卫星遥感影像  光谱差异  阴影  建筑物高度

Extracting buildings height and distribution information in Tianjin City from the shadows in ALOS images
Zhang XM,He GJ,Wang W,Jiao WL,Wang QJ.Extracting buildings height and distribution information in Tianjin City from the shadows in ALOS images[J].Spectroscopy and Spectral Analysis,2011,31(7):2003-2006.
Authors:Zhang Xiao-mei  He Guo-jin  Wang Wei  Jiao Wei-li  Wang Qin-jun
Institution:Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, China. xmzhang@ceode.ac.cn
Abstract:Spectral difference is an important aspect for extracting shadows of buildings. Based on the analysis of the relationship between the building heights and the shadows in ALOS Images, the paper presents the principle and the method for building heights estimation in a city from the shadows of an image, and works out a feasible approach to determining shadow zones in a panchromatic ALOS Images. It has also contributed a standard process for extracting buildings distribution information of different heights in a city from the shadows in a panchromatic ALOS Images. A result with about 87.6% accuracy has been achieved while applying this technique to Tianjin City, which has demonstrated prospective applications of satellite remote sensing to urban purposes.
Keywords:
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