| 高分辨率SAR影像道路交叉口自动提取方法 |
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| 引用本文： | 郭风成,李参海,李宗春,张海波,刘宇.高分辨率SAR影像道路交叉口自动提取方法[J].测绘科学技术学报,2017,34(2). |
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| 作者姓名： | 郭风成 李参海 李宗春 张海波 刘宇 |
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| 作者单位： | 1. 信息工程大学,河南郑州 450001;国家测绘地理信息局卫星测绘应用中心,北京 100048;2. 国家测绘地理信息局卫星测绘应用中心,北京,100048;3. 信息工程大学,河南郑州,450001 |
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| 基金项目： | 高分辨率对地观测系统重大专项 |
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| 摘 要： | 针对高分辨率SAR影像道路交叉口提取易受周围地物干扰的问题,设计了一种利用三角形检测模型提取道路交叉口的方法。该方法首先采取滤波与锐化消除道路交叉口区域噪声点并凸显道路边缘;接着根据灰度特征,通过形态学运算确定道路交叉口候选区域;最后在候选道路交叉口区域运用三角形检测模型,确认道路交叉口。使用3 m Tan DEM-X数据进行实验,结果证明算法对各种常见二维道路交叉口模型均有较好识别效果。
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| 关 键 词： | 合成孔径雷达 道路交叉口 形态学运算 三角形检测模型 高分辨率 |
A New Method for Automatic Extracting Road Junctions from High Resolution SAR Images |
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| GUO Fengcheng,LI Canhai,LI Zongchun,ZHANG Haibo,LIU Yu.A New Method for Automatic Extracting Road Junctions from High Resolution SAR Images[J].Journal of Zhengzhou Institute of Surveying and Mapping,2017,34(2). |
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| Authors: | GUO Fengcheng LI Canhai LI Zongchun ZHANG Haibo LIU Yu |
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| Abstract: | In high resolution SAR images,there are various kinds of objects around road junctions,which interfere with the extraction of road junctions.Therefore,a new method using triangle detection model is proposed for detecting and identifying road junctions in this paper.Firstly,noise reduction and edge enhancement are done by filtering and sharpening.Secondly,based on the junctions gray feature,the center positions of the road junctions' candidate regions are obtained by using morphological transformation methods.Finally,road junctions are extracted using the triangular model.The experiment results indicate that this method is effective to various common road junctions extracting based on 3 m high-resolution TanDEM-X image. |
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| Keywords: | SAR road junction morphological algorithm triangle detection model high resolution |
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