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遥感技术与应用  2019, Vol. 34 Issue (1): 107-114    DOI: 10.11873/j.issn.1004-0323.2019.1.0107
数据与图像处理     
基于同名特征的建筑物高度高分影像提取方法
龙恩,汪源,孟钢,王伟阳,陈旭,连翠萍
(北京市遥感信息研究所,北京 100192)
Extracting Building Height Information based on the Same-name Feature from High-resolution Satellite Image
Long En,Wang Yuan,Meng Gang,Wang Weiyang,Chen Xu,Lian Cuiping
(Institute of Remote Sensing Information of Beijing,Beijing 100192,China)
 全文: PDF(6766 KB)  
摘要: 基于同名特征的思想,引入同名直边距及建筑物主方向参数,构建平顶直边型建筑物测高模型,采用面向对象和专家知识相结合的地物信息提取技术,实现平顶直边型建筑高度提取。首先,利用阴影的光谱及形状特征,进行待测建筑物同名直边的检测与定位;其次,基于检测出的同名直边矢量及参数计算模型,进行同名直边距参数的提取;最后,基于建筑物成像条件及新型测高模型,提取建筑物高度。利用北京地区IKONOS和高分二号全色1 m分辨率影像试验表明,该方案解决了常规方法阴影长度不易量测的问题,且精度较高,达亚米级,具有良好的人机交互性,效率较高,业务化运行中具有较强的实用性。

关键词: 高分辨率卫星影像同名直边距主方向测高模型高度提取    
Abstract: Based on the idea of the same-name feature,the distance of the same-name straight edge and the main direction parameters of the building are introduced,and the altimetry model of the flat-top straight-edged building is constructed.The feature information extraction technology combining object-oriented and expert knowledge is used to realize the height extraction of the building.Firstly,using the spectral and shape features of the shadow,the detection and localization of the same-name straight edge of the building is carried out from high spatial resolution image.Secondly,based on the detected same-name straight edge vector and the parameter calculation model,the distance of the same-name straight edge parameter is extracted.Finally,based on Building imaging conditions and a new altimetry model to extract building height.The experiment of using the IKONOS and GF-2 image in Beijing area show that the scheme solves the problem that the shadow length of the conventional method is not easy to measure,and the precision is high,reaching the level of the meter,with good human-computer interaction and strong practicality in business operation.
Key words: High-resolution satellite imagery    Distance of the same-name straight edge    Main direction    Altimetry model    Height extraction
收稿日期: 2017-08-22 出版日期: 2019-04-02
ZTFLH:  TP79  
基金资助: 国家自然科学基金项目(61501036)。
作者简介: 龙恩(1977-),女,河南开封人,博士,高级工程师,主要从事高分辨率遥感图像处理与应用。E-mail:longen@lreis.ac.cn。
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引用本文:

龙恩, 汪源, 孟钢, 王伟阳, 陈旭, 连翠萍. 基于同名特征的建筑物高度高分影像提取方法[J]. 遥感技术与应用, 2019, 34(1): 107-114.

Long En, Wang Yuan, Meng Gang, Wang Weiyang, Chen Xu, Lian Cuiping. Extracting Building Height Information based on the Same-name Feature from High-resolution Satellite Image. Remote Sensing Technology and Application, 2019, 34(1): 107-114.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.1.0107        http://www.rsta.ac.cn/CN/Y2019/V34/I1/107

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