Laser & Optoelectronics Progress, Volume. 57, Issue 6, 061005(2020)
Road Extraction Algorithm for Remote Sensing Images Based on Improved Expectation-Maximization Clustering
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
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
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
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
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
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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
Category: Image Processing
Received: Jun. 22, 2019
Accepted: Aug. 28, 2019
Published Online: Mar. 6, 2020
The Author Email: Fengbao Yang (yangfb@nuc.edu.cn)