| 基于高分辨率遥感影像的道路提取方法 |
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| 引用本文： | 杨泽运,赵海洋,王强,张玉娟,张加颍.基于高分辨率遥感影像的道路提取方法[J].交通科技与经济,2020,22(2):73-76. |
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| 作者姓名： | 杨泽运 赵海洋 王强 张玉娟 张加颍 |
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| 作者单位： | 黑龙江工程学院 科研处,黑龙江 哈尔滨 150050;黑龙江工程学院 测绘工程学院,黑龙江 哈尔滨 150050;黑龙江工程学院 外国语学院,黑龙江 哈尔滨 150050 |
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| 基金项目： | 黑龙江省教育厅科学技术研究项目 |
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| 摘 要： | 分别采用面向对象、最大似然、支持向量机3种分类方法进行实验区高分辨率遥感影像的道路提取,并作分类精度评定。结果表明,面向对象法能够综合利用高分辨率遥感影像的波谱、几何、纹理等多种特征信息,可有效克服影响因素的干扰。本案面向对象法道路提取的总分类精度较高,获得的分类结果较好。
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| 关 键 词： | 遥感影像 道路提取 分类方法 面向对象 |
Road extraction method based on high resolution remote sensing image |
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| YANG Zeyun,ZHAO Haiyang,WANG Qiang,ZHANG Yujuan,ZHANG Jiaying.Road extraction method based on high resolution remote sensing image[J].Technology & Economy in Areas of Communications,2020,22(2):73-76. |
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| Authors: | YANG Zeyun ZHAO Haiyang WANG Qiang ZHANG Yujuan ZHANG Jiaying |
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| Institution: | (Department of Scientific Research,Heilongjiang Institute of Technology,Harbin 150050,China;College of Surveying and Mapping Engineering,Heilongjiang Institute of Technology,Harbin 150050,China;College of Foreign Languages,Heilongjiang Institute of Technology,Harbin 150050,China) |
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| Abstract: | Three classification methods,object oriented,maximum likelihood and support vector machine(SVM),are used to extract road information from high resolution remote sensing images in study area,and the evaluation of classification accuracy is performed.The result shows that the object-oriented method can make use of spectral,geometric textureand other characteristics of high-resolution remote sensing images,and effectively overcome the interference of other influencing factors.The classification accuracy of object-oriented method is higher and the classification result is better. |
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| Keywords: | remote sensing image road extraction classification method object oriented |
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