OPT OpenIR  > 光学影像学习与分析中心
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.
Department光学影像学习与分析中心
2018-04-01
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
Volume56Issue:4Pages:2183-2195
Contribution Rank1
Abstract

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.

SubtypeArticle
KeywordImage Captioning Remote Sensing Image Semantic Understanding
Subject AreaGeochemistry & Geophysics
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1109/TGRS.2017.2776321
Indexed BySCI ; EI
WOS KeywordScene Classification ; Features ; Segmentation ; Networks
Language英语
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
Funding OrganizationNational 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 SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000428673800025
EI Accession Number20180204628254
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30033
Collection光学影像学习与分析中心
Corresponding AuthorLu, XX (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
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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