中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
热门
Exploring Models and Data for Remote Sensing Image Caption Generation

文献类型:期刊论文

作者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
出版日期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
DOI10.1109/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)
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.

入库方式: OAI收割

来源:西安光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。