Bankline extraction in remote sensing images using principal curves
In bankline extraction from remote sensing images, the results are usually rough and segmented. A new bankline extraction method based on the principal curves was proposed. In the learning process, the polygonal line (PL) algorithm and the error back propagation (BP) algorithm were combined. Firstly...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016222/ |
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| _version_ | 1841539620875010048 |
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| author | Yun GUO Yi-huai WANG Chun-ping LIU Sheng-rong GONG Yi JI |
| author_facet | Yun GUO Yi-huai WANG Chun-ping LIU Sheng-rong GONG Yi JI |
| author_sort | Yun GUO |
| collection | DOAJ |
| description | In bankline extraction from remote sensing images, the results are usually rough and segmented. A new bankline extraction method based on the principal curves was proposed. In the learning process, the polygonal line (PL) algorithm and the error back propagation (BP) algorithm were combined. Firstly, the principal curve of the river centerline was learned. Then, a segmentation method was proposed to divide the riparian points into two sets which belong to the left and right bank respectively, and the smooth parameter expressions of the principal curves of the two banklines were given. Finally, the vec-tor description of the river centerline and banklines in remote sensing images were realized. The principal curve descriptions made the extracted banklines smooth, and the separate learning of the two banklines ensured the integrity of the extracted banklines for even narrow river channels. Comparison with the existing methods through experiments on real remote sensing images shows that the proposed method can achieve better smoothness and can be used to solve the problem of discontinuity in narrower channel of a river. The resulting vector descriptions of banklines are more convenient for storage and reconstruc-tion and can be used as shape features for the detection and identification of river area in images. |
| format | Article |
| id | doaj-art-ecc2f7242dc241d0abc80288ff86c55c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ecc2f7242dc241d0abc80288ff86c55c2025-01-14T07:10:46ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-11-0137808959704550Bankline extraction in remote sensing images using principal curvesYun GUOYi-huai WANGChun-ping LIUSheng-rong GONGYi JIIn bankline extraction from remote sensing images, the results are usually rough and segmented. A new bankline extraction method based on the principal curves was proposed. In the learning process, the polygonal line (PL) algorithm and the error back propagation (BP) algorithm were combined. Firstly, the principal curve of the river centerline was learned. Then, a segmentation method was proposed to divide the riparian points into two sets which belong to the left and right bank respectively, and the smooth parameter expressions of the principal curves of the two banklines were given. Finally, the vec-tor description of the river centerline and banklines in remote sensing images were realized. The principal curve descriptions made the extracted banklines smooth, and the separate learning of the two banklines ensured the integrity of the extracted banklines for even narrow river channels. Comparison with the existing methods through experiments on real remote sensing images shows that the proposed method can achieve better smoothness and can be used to solve the problem of discontinuity in narrower channel of a river. The resulting vector descriptions of banklines are more convenient for storage and reconstruc-tion and can be used as shape features for the detection and identification of river area in images.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016222/remote sensing imagebankline extractionprincipal curvesPL algorithmBP algorithm |
| spellingShingle | Yun GUO Yi-huai WANG Chun-ping LIU Sheng-rong GONG Yi JI Bankline extraction in remote sensing images using principal curves Tongxin xuebao remote sensing image bankline extraction principal curves PL algorithm BP algorithm |
| title | Bankline extraction in remote sensing images using principal curves |
| title_full | Bankline extraction in remote sensing images using principal curves |
| title_fullStr | Bankline extraction in remote sensing images using principal curves |
| title_full_unstemmed | Bankline extraction in remote sensing images using principal curves |
| title_short | Bankline extraction in remote sensing images using principal curves |
| title_sort | bankline extraction in remote sensing images using principal curves |
| topic | remote sensing image bankline extraction principal curves PL algorithm BP algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016222/ |
| work_keys_str_mv | AT yunguo banklineextractioninremotesensingimagesusingprincipalcurves AT yihuaiwang banklineextractioninremotesensingimagesusingprincipalcurves AT chunpingliu banklineextractioninremotesensingimagesusingprincipalcurves AT shengronggong banklineextractioninremotesensingimagesusingprincipalcurves AT yiji banklineextractioninremotesensingimagesusingprincipalcurves |