激光与光电子学进展, 2020, 57 (6): 061005, 网络出版: 2020-03-06
基于改进最大期望聚类的遥感影像道路提取算法 
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Road Extraction Algorithm for Remote Sensing Images Based on Improved Expectation-Maximization Clustering
图 & 表
图 2. 道路提取过程。(a)图像数学形态学处理结果;(b)图像EM聚类结果;(c)图像轮廓检测结果;(d)道路提取结果
Fig. 2. Road extraction process. (a) Image mathematical morphology processing result; (b) image EM clustering result; (c) image contour detection result; (d) road extraction result
图 3. 实验数据1处理结果。(a)原始图片;(b)图像轮廓检测结果;(c)道路提取结果;(d)提取结果与原图叠加
Fig. 3. Processing results of experimental data 1. (a) Original picture; (b) image contour detection result; (c) road extraction result; (d) extraction results are superimposed on original image
图 4. 实验数据2处理结果。(a)原始图片;(b)图像轮廓检测结果;(c)道路提取结果;(d)提取结果与原图叠加
Fig. 4. Processing results of experimental data 2. (a) Original picture; (b) image contour detection result; (c) road extraction result; (d) extraction results are superimposed on original image
图 5. 传统方法提取效果。基于Hongh变换的方法对(a)数据1和(b)数据2的提取结果;分水岭阈值分割结合形状特征的方法对(c)数据1和(d)数据2的提取结果
Fig. 5. Extraction effects of traditional method. Extraction results of (a)data 1 and (b) data 2 obtained by Hongh transformation based method; extraction results of (c)data 1 and (d) data 2 obtained by watershed threshold segmentation combined with shape features
图 6. 测试集数据及提取结果。(a)测试集数据1;(b)测试集数据2; (c)测试集数据3;(d)测试集数据1提取结果;(e)测试集数据2提取结果;(f)测试集数据3提取结果
Fig. 6. Test set data and extraction results. (a) Test set data 1; (b) test set data 2; (c) test set data 3; (d) extraction result of test set data 1; (e) extraction result of test set data 2; (f) extraction result of test set data 3
表 1数据1评价结果
Table1. Evaluation results for data 1
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表 2数据2评价结果
Table2. Evaluation results for data 2
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张宗军, 杨风暴. 基于改进最大期望聚类的遥感影像道路提取算法[J]. 激光与光电子学进展, 2020, 57(6): 061005. Zongjun Zhang, Fengbao Yang. Road Extraction Algorithm for Remote Sensing Images Based on Improved Expectation-Maximization Clustering[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061005.
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