An Island Remote Sensing Image Segmentation Algorithm Based on A Fusion Network with Attention Mechanism

doi:10.1088/1742-6596/1693/1/012179

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	An Island Remote Sensing Image Segmentation Algorithm Based on A Fusion Network with Attention Mechanism
	Chen,Tianyuan 1,4; Wang,Hongfei 1; Liu,Hao 2,3; Wu,Peng 1
刊名	Journal of Physics: Conference Series
	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
出版者	IOP Publishing
WOS记录号	IOP:1742-6588-1693-1-012179
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42234]
专题	自动化研究所_复杂系统管理与控制国家重点实验室
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.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 3.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, 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).