Attention based network for remote sensing scene classification | |
Liu, Shaoteng1; Wang, Qi1,2; Li, Xuelong3,4 | |
2018-10-31 | |
会议名称 | 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 |
会议录名称 | 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings |
卷号 | 2018-July |
页码 | 4740-4743 |
会议日期 | 2018-07-22 |
会议地点 | Valencia, Spain |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 3 |
摘要 | Scene classification of very high resolution remote sensing images is becoming more and more important because of its wide range of applications. However, previous works are mainly based on handcrafted features which do not have enough adaptability and expression ability. In this paper, inspired by the attention mechanism of human visual system, we propose a novel attention based network (AttNet) for scene classification. It can focus selectively on some key areas of images so that it can abandon redundant information. Essentially, AttNet gives a way to readjust the signal of supervision, and it is one of the first successful attempts on visual attention for remote sensing scene classification. Our method is evaluated on the UC Merced Land-Use Dataset, in comparison with some state-of-the-art methods. The experimental result shows that the proposed method makes a great improvement on both convergence speed and classification accuracy, and it also shows the effectiveness of visual attention for this task. © 2018 IEEE. |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1109/IGARSS.2018.8519232 |
收录类别 | EI |
ISBN号 | 9781538671504 |
语种 | 英语 |
EI入藏号 | 20191606775079 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/31388 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.School of Computer Science, Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, Shaanxi; 710072, China; 2.Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, Shaanxi; 710072, China; 3.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi; 710119, China; 4.University of Chinese Academy of Sciences, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Liu, Shaoteng,Wang, Qi,Li, Xuelong. Attention based network for remote sensing scene classification[C]:Institute of Electrical and Electronics Engineers Inc.,2018:4740-4743. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Attention based netw(1793KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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