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基于高分辨率城区遥感影像的道路半自动提取方法研究
引用本文:夏春林,张静,褚廷有.基于高分辨率城区遥感影像的道路半自动提取方法研究[J].测绘科学,2008,33(5).
作者姓名:夏春林  张静  褚廷有
作者单位:辽宁工程技术大学,测绘与地理科学学院,辽宁阜新,123000;西安科技大学测绘学院,西安,710054
摘    要:遥感影像上人工地物的自动化和智能化采集一直是摄影测量与遥感技术长期探索的一个主要课题。道路是重要的基础地理信息,随着遥感影像分辨率的提高,道路特征的复杂化对道路提取方法形成了挑战。针对高分辨率城区遥感影像道路提取中存在的问题,结合多分辨率分析思想、模板匹配原理和LSB-Snake模型,综合提出了一种适用于城区高分辨率遥感影像的道路半自动提取方法。实验表明该方法可以在很大程度上弥补LSB-Snake模型的不足,同时具有良好的抗噪声能力,可作为一种有效手段应用在城区高分辨率遥感影像的道路提取中,具有很好的交互性、可靠性和高效性。

关 键 词:高分辨率遥感影像  道路提取  多分辨率分层模板匹配  LSB-Snalce模型

Research on method of semi - automatic road extraction based on remote sensing image with high - resolution
XIA Chun-lin,ZHANG Jing,CHU Ting-you.Research on method of semi - automatic road extraction based on remote sensing image with high - resolution[J].Science of Surveying and Mapping,2008,33(5).
Authors:XIA Chun-lin  ZHANG Jing  CHU Ting-you
Abstract:Automatic and intelligent collection of artificial features based on remote sensing image is always an important task in photogrammetry and remote sensing field.Roads are important geographic information,and it become a challenge for the complication of road characteristics to extracting method since the image's resolution of remote sensing is getting higher and higher.A semi-automatic method is put forward that is fit for the images with high-resolution aiming at the exist problems with roads extraction on the images,which combined with the conception of multi-solution analysis,the principle of model matching and LSB-Snake modeling together.The method can fetch up the shortage of LSB-Snake model and is provided with a capacity of anti-noise,so that it can be a effective resort applying in road extraction on remote sensing image with high-resolution,which has good interactivity,reliability and efficiency.
Keywords:remote sensing image with high-resolution  road extraction  multi-resolution template matching  LSB-Snake model
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