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遥感技术与应用  2009, Vol. 24 Issue (4): 502-506    DOI: 10.11873/j.issn.1004-0323.2009.4.502
综述     
利用边缘检测对高分辨率影像中建筑物的提取研究
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李巍岳1,2,胡志斌1,朱教君1,李娜3,马聪2

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1.中国科学院沈阳应用生态研究所,辽宁 沈阳110016;
2.辽宁工程技术大学测绘与地理科学学院,辽宁 阜新123000;
3.中国科学院国家科学图书馆兰州分馆,甘肃 兰州730000
Research on Building Extraction from High Resolution Remote Sensing Images with Edge Detection
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LI Wei-yue 1,2,HU Zhi-bin 1,ZHU Jiao-jun 1,LI Na 3,MA Cong 2
1.Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China;
2.College of Survey and Geography Science,Liaoning Technology University,Fuxin 123000,China;
3.Lanzhou Branch of National Science Library,Chinese Academy of Sciences,Lanzhou 730000,China
 全文: PDF(1144 KB)  
摘要:

遥感作为一种探测技术,越来越广泛地运用到城市建设等应用研究领域中。近年来,高分辨率遥感影像的应用推动了城市遥感进一步向定量化方向发展,同时,也大大增加了数据处理的工作量。如何从海量的遥感数据中筛选出有价值的信息一直是遥感影像处理工作最需要解决的难题。将尝试使用Sobel算子与数学形态学相结合的方法,利用2001年阜新市区的QuickBrid多光谱影像,探索一种高分辨率多光谱影像建筑物的提取方法。

关键词: 多光谱影像Sobel算子数学形态学建筑物提取    
Abstract:

As the detection technology,remote sensing technology has been increasingly used in the field of urban construction and other related research fields.In recent years,the development of high resolution remote sensing promotes urban remote sensing to have a further quantitative development and greatly increases data-processing workload;how to select the valuable information from the mass of remote sensing data has been a resolved problem.A method was put forward based on Sobel operator and mathematical morphology.Adopting a QuickBird multi-spectral image of Fuxin District in 2001,the method of building extraction from high resolution and multi-spectral images was proposed.

Key words: Multi-spectral image    Sobel operator    Mathematical morphology    Building extraction
收稿日期: 2008-02-21 出版日期: 2010-11-29
基金资助:

国家自然科学基金项目(40701185) 、中国科学院知识创新工程重大项目(KZCX1-YW-08-02-05)资助。

作者简介: 李巍岳(1983- ),男,硕士研究生,主要从事遥感技术应用研究。E-mail:lwy_326@126.com。
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引用本文:

李巍岳胡志斌,朱教君,李娜,马聪. 利用边缘检测对高分辨率影像中建筑物的提取研究
[J]. 遥感技术与应用, 2009, 24(4): 502-506.

链接本文:

http://www.rsta.ac.cn/CN/Y2009/V24/I4/502

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