Automated building extraction using satellite remote sensing imagery
文献类型：期刊论文
| 作者 | QintaoHu; LiangliZhen; YaoMao; XiZhou; GuozhongZhou |
| 刊名 | Automation in Construction
 |
| 出版日期 | 2020-12-16 |
| 卷号 | 123页码:103509 |
| 关键词 | Remote sensingBuilding extractionUrban planningDigital city construction |
| ISSN号 | 0926-5805 |
| DOI | 10.1016/j.autcon.2020.103509 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Automatic extraction of buildings from remote sensing images plays a critical role in urban planning and digital city construction applications. In real-world applications, however, real scenes can be highly complex (e.g., various building structures and shapes, presence of obstacles, and low contrast between buildings and surrounding regions), making automatic building extraction extremely challenging. To conquer this challenge, we propose a novel method called Deep Automatic Building Extraction Network (DABE-Net). It adopts squeeze-and-excitation (SE) operations and the residual recurrent convolutional neural network (RRCNN) to construct building-blocks. Furthermore, an attention mechanism is introduced into the network to improve segmentation accuracy. Specifically, to handle small buildings, we highlight small buildings and develop a multi-scale segmentation loss function. The theoretical analysis and experimental results show that the proposed method is effective in building extraction and outperforms several peer methods on the dataset of Mapping challenge competition. |
| 语种 | 英语 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/10150]  |
| 专题 | 光电技术研究所_光电工程总体研究室（一室） |
| 通讯作者 | YaoMao |
| 作者单位 | 1.Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore 2.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China 3.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China 4.University of Chinese Academy of Sciences, Beijing 100039, China |
| 推荐引用方式 GB/T 7714 | QintaoHu,LiangliZhen,YaoMao,et al. Automated building extraction using satellite remote sensing imagery[J]. Automation in Construction,2020,123:103509. |
| APA | QintaoHu,LiangliZhen,YaoMao,XiZhou,&GuozhongZhou.(2020).Automated building extraction using satellite remote sensing imagery.Automation in Construction,123,103509. |
| MLA | QintaoHu,et al."Automated building extraction using satellite remote sensing imagery".Automation in Construction 123(2020):103509. |
入库方式： OAI收割
来源：光电技术研究所
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