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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.
作者部门光学影像学习与分析中心
2018-04-01
发表期刊IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
卷号56期号:4页码:2183-2195
产权排序1
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.
文章类型Article
关键词Image Captioning Remote Sensing Image Semantic Understanding
学科领域Geochemistry & Geophysics
WOS标题词Science & Technology ; Physical Sciences ; Technology
DOI10.1109/TGRS.2017.2776321
收录类别SCI
关键词[WOS]SCENE CLASSIFICATION ; FEATURES ; SEGMENTATION ; NETWORKS
语种英语
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
项目资助者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)
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000428673800025
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30033
专题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
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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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