Bidirectional adaptive feature fusion for remote sensing scene classification | |
Lu, Xiaoqiang1; Ji, Weijun1,2; Li, Xuelong1,2; Zheng, Xiangtao1 | |
作者部门 | 光谱成像技术研究室 |
2019-02-07 | |
发表期刊 | NEUROCOMPUTING |
ISSN | 0925-2312;1872-8286 |
卷号 | 328期号:SI页码:135-146 |
产权排序 | 1 |
摘要 | Scene classification has become an effective way to interpret the High Spatial Resolution (HSR) remote sensing images. Recently, Convolutional Neural Networks (CNN) have been found to be excellent for scene classification. However, only using the deep models as feature extractor on the aerial image directly is not proper, because the extracted deep features can not capture spatial scale variability and rotation variability in HSR remote sensing images. To relieve this limitation, a bidirectional adaptive feature fusion strategy is investigated to deal with the remote sensing scene classification. The deep learning feature and the SIFT feature are fused together to get a discriminative image presentation. The fused feature can not only describe the scenes effectively by employing deep learning feature but also overcome the scale and rotation variability with the usage of the SIFT feature. By fusing both SIFT feature and global CNN feature, our method achieves state-of-the-art scene classification performances on the UCMerced, the Sydney and the AID datasets. (C) 2018 Elsevier B.V. All rights reserved. |
关键词 | Bidirectional adaptive feature fusion High spatial resolution remote Sensing images Scene classification |
DOI | 10.1016/j.neucom.2018.03.076 |
收录类别 | SCI ; CPCI |
语种 | 英语 |
WOS记录号 | WOS:000458065600015 |
出版者 | ELSEVIER SCIENCE BV |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/31157 |
专题 | 光谱成像技术研究室 |
通讯作者 | Lu, Xiaoqiang |
作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, 19A Yuquanlu, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Lu, Xiaoqiang,Ji, Weijun,Li, Xuelong,et al. Bidirectional adaptive feature fusion for remote sensing scene classification[J]. NEUROCOMPUTING,2019,328(SI):135-146. |
APA | Lu, Xiaoqiang,Ji, Weijun,Li, Xuelong,&Zheng, Xiangtao.(2019).Bidirectional adaptive feature fusion for remote sensing scene classification.NEUROCOMPUTING,328(SI),135-146. |
MLA | Lu, Xiaoqiang,et al."Bidirectional adaptive feature fusion for remote sensing scene classification".NEUROCOMPUTING 328.SI(2019):135-146. |
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 | ||
Bidirectional adapti(3917KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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