| 高分辨率SAR与光学遥感影像中道路提取方法的研究 |
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| 引用本文： | 陈颖,陈绍杰,杜培军,夏俊士,曹文.高分辨率SAR与光学遥感影像中道路提取方法的研究[J].测绘与空间地理信息,2011,34(4):40-44. |
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| 作者姓名： | 陈颖 陈绍杰 杜培军 夏俊士 曹文 |
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| 作者单位： | 1. 中国矿业大学国土环境与灾害监测国家测绘局重点实验室,江苏徐州,221116
2. 龙岩学院资源工程学院,福建龙岩,364000 |
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| 基金项目： | 福建省科技厅重点项目(2010Y0041); 国土环境与灾害监测国家测绘局重点试验室开放式基金项目(LEDM2009C04); 龙岩市科技局重点项目(2009LY71)资助 |
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| 摘 要： | 高分辨率影像能够提供丰富的地表细节信息,从高分辨率遥感影像中进行高精度的道路提取是目前遥感信息处理的研究热点。分别以高分辨光学IKONOS影像和COSMO-Skymed SAR影像为数据源,对北京市某区域进行了道路信息自动提取方法的研究。高分辨率光学影像中采用最大似然分类进行道路信息提取,在SAR影像中则采用Otsu阈...
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| 关 键 词： | 道路提取 数学形态学 高分辨率遥感 |
Road Extraction from High Resolution SAR and Optical Remote Sensing Images |
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| CHEN Ying,CHEN Shao-jie,DU Pei-jun,XIA Jun-shi,CAO Wen.Road Extraction from High Resolution SAR and Optical Remote Sensing Images[J].Geomatics & Spatial Information Technology,2011,34(4):40-44. |
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| Authors: | CHEN Ying CHEN Shao-jie DU Pei-jun XIA Jun-shi CAO Wen |
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| Institution: | CHEN Ying1,2,CHEN Shao-jie2,DU Pei-jun1,XIA Jun-shi1,CAO Wen1(1.Key Laboratory for Land Environment and Disaster Monitoring of State Bureau of Surveying and Mapping,China University of Mining and Technology,Xuzhou 221116,China,2.School of Resource Engineering,Longyan University,Longyan 364000,China) |
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| Abstract: | High-resolution remote sensing images provide more detailed information about the earth's surface than ever before.How to extract road from high resolution image accurately has become a hot topic in remote sensing image processing.In this paper,high resolution optical image IKONOS and SAR image COSMO-Skymed were taken as data sources for road extraction.Automated road information extraction in a certain district of Beijing was experimented.The main methods of extracting road information were maximum likelih... |
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| Keywords: | road extraction mathematical morphology high resolution remote sensing |
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