Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression
文献类型：期刊论文
| 作者 | Cheng, Guangliang ; Zhu, Feiyun; Xiang, Shiming; Pan, Chunhong; Cheng GL(程光亮)
|
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2016-04-01 |
| 卷号 | 13期号:4页码:545-549 |
| 关键词 | Multidirection Nonmaximum Suppression (M-nms) Multiscale Filtering (Mf) Road Centerline Extraction Semisupervised Segmentation |
| DOI | 10.1109/LGRS.2016.2524025 |
| 文献子类 | Article |
| 英文摘要 | Accurate road centerline extraction from remotely sensed images plays a significant role in road map generation and updating. In the road extraction problem, the acquisition of labeled data is time consuming and costly; thus, there are only a small amount of labeled samples in reality. In the existing centerline extraction algorithms, the thinning-based algorithms always produce small spurs that reduce the smoothness and accuracy of the road centerline; the regression-based algorithms can extract a smooth road network, but they are time consuming. To solve the aforementioned problems, we propose a novel road centerline extraction method, which is constructed based on semi-supervised segmentation and multiscale filtering (MF) and multidirection nonmaximum suppression (M-NMS) (MF&M-NMS). Specifically, a semisupervised method, which explores the intrinsic structures between the labeled samples and the unlabeled ones, is introduced to obtain the segmentation result. Then, a novel MF&M-NMS-based algorithm is proposed to gain a smooth and complete road centerline network. Experimental results on a public data set demonstrate that the proposed method achieves comparable or better performances by comparing with the stateof-the-art methods. In addition, our method is nearly ten times faster than the state-of-the-art methods. |
| WOS关键词 | SHAPE-FEATURES ; IMAGERY ; CLASSIFICATION |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000373009800015 |
| 资助机构 | Natural Science Foundation of China(91338202 ; 91438105 ; 61305049 ; 61370039) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12189]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 通讯作者 | Cheng GL(程光亮) |
| 作者单位 | Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cheng, Guangliang,Zhu, Feiyun,Xiang, Shiming,et al. Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2016,13(4):545-549. |
| APA | Cheng, Guangliang,Zhu, Feiyun,Xiang, Shiming,Pan, Chunhong,&程光亮.(2016).Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,13(4),545-549. |
| MLA | Cheng, Guangliang,et al."Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 13.4(2016):545-549. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。