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AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
文献类型：期刊论文
| 作者 | Xia, Gui-Song1; Hu, Jingwen1,2; Hu, Fan1,2; Shi, Baoguang3; Bai, Xiang3; Zhong, Yanfei; Zhang, Liangpei1; Lu, Xiaoqiang4
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| 刊名 | ieee transactions on geoscience and remote sensing
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| 出版日期 | 2017-07-01 |
| 卷号 | 55期号:7页码:3965-3981 |
| 关键词 | Aerial images benchmark scene classification |
| ISSN号 | 0196-2892 |
| 产权排序 | 4 |
| 通讯作者 | xia, gs (reprint author), wuhan univ, state key lab informat engn surveying mapping rem, wuhan 430079, peoples r china. |
| 英文摘要 | aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote sensing imagery. in recent years, it has become an active task in the remote sensing area, and numerous algorithms have been proposed for this task, including many machine learning and data-driven approaches. however, the existing data sets for aerial scene classification, such as uc-merced data set and whu-rs19, contain relatively small sizes, and the results on them are already saturated. this largely limits the development of scene classification algorithms. this paper describes the aerial image data set (aid): a large-scale data set for aerial scene classification. the goal of aid is to advance the state of the arts in scene classification of remote sensing images. for creating aid, we collect and annotate more than 10 000 aerial scene images. in addition, a comprehensive review of the existing aerial scene classification techniques as well as recent widely used deep learning methods is given. finally, we provide a performance analysis of typical aerial scene classification and deep learning approaches on aid, which can be served as the baseline results on this benchmark. |
| WOS标题词 | science & technology ; physical sciences ; technology |
| 学科主题 | geochemistry & geophysics ; engineering, electrical & electronic ; remote sensing ; imaging science & photographic technology |
| 类目[WOS] | geochemistry & geophysics ; engineering, electrical & electronic ; remote sensing ; imaging science & photographic technology |
| 研究领域[WOS] | geochemistry & geophysics ; engineering ; remote sensing ; imaging science & photographic technology |
| 关键词[WOS] | remote-sensing imagery ; latent dirichlet allocation ; land-use classification ; visual-words model ; object detection ; learning algorithms ; random-field ; features ; representation ; bag |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000404300900027 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/29085]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping Rem, Wuhan 430079, Peoples R China 2.Wuhan Univ, Sch Elect Informat, Signal Proc Lab, Wuhan 430072, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Elect Informat, Wuhan 430074, Peoples R China 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xia, Gui-Song,Hu, Jingwen,Hu, Fan,et al. AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification[J]. ieee transactions on geoscience and remote sensing,2017,55(7):3965-3981. |
| APA | Xia, Gui-Song.,Hu, Jingwen.,Hu, Fan.,Shi, Baoguang.,Bai, Xiang.,...&Lu, Xiaoqiang.(2017).AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification.ieee transactions on geoscience and remote sensing,55(7),3965-3981. |
| MLA | Xia, Gui-Song,et al."AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification".ieee transactions on geoscience and remote sensing 55.7(2017):3965-3981. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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