Extraction of bridges over water from IKONOS panchromatic data
文献类型：SCI/SSCI论文
| 作者 | Luo J. ; Ming D. ; Liu W. ; Shen Z. ; Wang M. ; Sheng H. |
| 发表日期 | 2007 |
| 关键词 | support vector machines texture classification |
| 英文摘要 | Compared to remote sensing images of medium or low spatial resolution, high-resolution remote sensing images can provide observation data containing more detailed information for georesearch. Accordingly, an important issue for current computer and geoscience experts is to develop useful methods or technology to extract information from these high-resolution satellite images. As part of a series of research into object extraction, this paper focuses mainly on the extraction of bridges over water from high-resolution panchromatic satellite images. Since bridges over water are obviously adjacent to water in remote sensing images, this paper proposes a practical knowledge-based bridge extraction method for remote sensing images of high spatial resolution. The steps involved are: water extraction based on Gauss Markov Random Field (GMRF)-Support Vector Machine (SVM) classification methods which use a SVM to classify the image based on textural features expressed by a GMRF; image thinning and removal of fragmented lines; main trunk detection by width; vectorization; and feature expression. Finally, tests are described for two pieces of panchromatic IKONOS satellite images with a 1 m resolution. The experimental results show that the proposed method is suitable for images with a single-peak histogram (contrast between water and land is sharp) or a multi-peak histogram (greyscale value of water is close to that of land). |
| 出处 | International Journal of Remote Sensing |
| 卷 | 28 |
| 期 | 16 |
| 页 | 3633-3648 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-1161 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/23342]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Luo J.,Ming D.,Liu W.,et al. Extraction of bridges over water from IKONOS panchromatic data. 2007. |
入库方式： OAI收割
来源：地理科学与资源研究所
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