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Bidirectional adaptive feature fusion for remote sensing scene classification
Ji, Weijun1,2; Li, Xuelong1; Lu, Xiaoqiang1; Lu, Xiaoqiang (luxiaoqiang@opt.ac.cn)
2017
会议名称2nd Chinese Conference on Computer Vision, CCCV 2017
会议录名称Computer Vision - 2nd CCF Chinese Conference, CCCV 2017, Proceedings
卷号772
页码486-497
会议日期2017-10-11
会议地点Tianjin, China
出版者Springer Verlag
产权排序1
摘要

Convolutional neural networks (CNN) have been excellent for scene classification in nature scene. However, directly using the pre-trained deep models on the aerial image is not proper, because of the spatial scale variability and rotation variability of the HSR remote sensing images. In this paper, 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 performance on the UCM and the AID datasets. © Springer Nature Singapore Pte Ltd. 2017.

关键词Bidirectional adaptive feature fusion High spatial resolution remote Sensing images Scene classification
作者部门光学影像学习与分析中心
DOI10.1007/978-981-10-7302-1_40
收录类别EI ; CPCI
ISBN号9789811073014
语种英语
ISSN号18650929
WOS记录号WOS:000449831600040
EI入藏号20175104550041
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29613
专题光谱成像技术研究室
通讯作者Lu, Xiaoqiang (luxiaoqiang@opt.ac.cn)
作者单位1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; Shaanxi; 710119, China
2.University of Chinese Academy of Sciences, 19A Yuquanlu, Beijing; 100049, China
推荐引用方式
GB/T 7714
Ji, Weijun,Li, Xuelong,Lu, Xiaoqiang,et al. Bidirectional adaptive feature fusion for remote sensing scene classification[C]:Springer Verlag,2017:486-497.
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