An Island Remote Sensing Image Segmentation Algorithm Based on A Fusion Network with Attention Mechanism
文献类型：期刊论文
| 作者 | Chen,Tianyuan1,4; Wang,Hongfei1; Liu,Hao2,3 ; Wu,Peng1
|
| 刊名 | Journal of Physics: Conference Series
 |
| 出版日期 | 2020-12-01 |
| 卷号 | 1693期号:1 |
| ISSN号 | 1742-6588 |
| DOI | 10.1088/1742-6596/1693/1/012179 |
| 英文摘要 | Abstract With the increasing importance of islands in many fields, it has become the focus of research to obtain information from island remote sensing images efficiently by using image semantic segmentation algorithm. In recent years, deep learning methods based on convolutional neural network have been widely used in image segmentation. However, in view of the problems that remote sensing images contain richer ratio information and complex background interference, we propose an island remote sensing image segmentation algorithm based on a fusion network with attention mechanism, called AFU-Net. The network is built on the basis of FC_U-Net [1]. An attention mechanism is added to pre-weight the shallow features before deep-shallow layer feature fusion, in order to enhance the response capability of the target features, suppress the background interference and improve the segmentation accuracy of the network. The testing and comparative experiments on NWPU-RESISC45 dataset show that the quantitative metrics and visual effects of AFU-Net are greatly improved compared to FC_U-Net, and are also superior to other three state-of-the-art methods, U-Net, FCN, SegNet, which indicates the effectiveness of our method. |
| 语种 | 英语 |
| WOS记录号 | IOP:1742-6588-1693-1-012179 |
| 出版者 | IOP Publishing |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42234]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 作者单位 | 1.Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 3.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 4.University of Chinese Academy of Sciences, Beijing 100049, China |
| 推荐引用方式 GB/T 7714 | Chen,Tianyuan,Wang,Hongfei,Liu,Hao,et al. An Island Remote Sensing Image Segmentation Algorithm Based on A Fusion Network with Attention Mechanism[J]. Journal of Physics: Conference Series,2020,1693(1). |
| APA | Chen,Tianyuan,Wang,Hongfei,Liu,Hao,&Wu,Peng.(2020).An Island Remote Sensing Image Segmentation Algorithm Based on A Fusion Network with Attention Mechanism.Journal of Physics: Conference Series,1693(1). |
| MLA | Chen,Tianyuan,et al."An Island Remote Sensing Image Segmentation Algorithm Based on A Fusion Network with Attention Mechanism".Journal of Physics: Conference Series 1693.1(2020). |
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。