Exploring Models and Data for Remote Sensing Image Caption Generation | |
Lu, Xiaoqiang1,2; Wang, Binqiang1,2; Zheng, Xiangtao1,2; Li, Xuelong1,2; Lu, XX (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China. | |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
2018-04-01 | |
卷号 | 56期号:4页码:2183-2195 |
关键词 | Image Captioning Remote Sensing Image Semantic Understanding |
ISSN号 | 0196-2892 |
DOI | 10.1109/TGRS.2017.2776321 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | Inspired by recent development of artificial satellite, remote sensing images have attracted extensive attention. Recently, notable progress has been made in scene classification and target detection. However, it is still not clear how to describe the remote sensing image content with accurate and concise sentences. In this paper, we investigate to describe the remote sensing images with accurate and flexible sentences. First, some annotated instructions are presented to better describe the remote sensing images considering the special characteristics of remote sensing images. Second, in order to exhaustively exploit the contents of remote sensing images, a large-scale aerial image data set is constructed for remote sensing image caption. Finally, a comprehensive review is presented on the proposed data set to fully advance the task of remote sensing caption. Extensive experiments on the proposed data set demonstrate that the content of the remote sensing image can be completely described by generating language descriptions. The data set is available at https://github.com/201528014227051/RSICD_optimal. |
学科主题 | Geochemistry & Geophysics |
WOS关键词 | Scene Classification ; Features ; Segmentation ; Networks |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000428673800025 |
资助机构 | National Natural Science Foundation of China(61761130079 ; Key Research Program of Frontier Sciences, CAS(QYZDY-SSW-JSC044) ; Young Top-Notch Talent Program of Chinese Academy of Sciences(QYZDB-SSW-JSC015) ; 61472413 ; 61772510) |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/30033] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
通讯作者 | Lu, XX (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China. |
作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Lu, Xiaoqiang,Wang, Binqiang,Zheng, Xiangtao,et al. Exploring Models and Data for Remote Sensing Image Caption Generation[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(4):2183-2195. |
APA | Lu, Xiaoqiang,Wang, Binqiang,Zheng, Xiangtao,Li, Xuelong,&Lu, XX .(2018).Exploring Models and Data for Remote Sensing Image Caption Generation.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(4),2183-2195. |
MLA | Lu, Xiaoqiang,et al."Exploring Models and Data for Remote Sensing Image Caption Generation".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.4(2018):2183-2195. |
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