Urban Observation: Integration of Remote Sensing and Social Media Data

被引:31
作者
Qi, Lin [1 ]
Li, Jie [1 ]
Wang, Ying [1 ]
Gao, Xinbo [2 ]
机构
[1] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
[2] Xidian Univ, Sch Elect Engn, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
Remote sensing; Urban areas; Monitoring; Sensors; Big Data; Flickr; Big data; remote sensing; social media; urban observation; BIG DATA; LAND-USE; DAMAGE ASSESSMENT; FLOOD; INFORMATION; IMAGERY; CLASSIFICATION; CHALLENGES; FRAMEWORK; LOCATION;
D O I
10.1109/JSTARS.2019.2908515
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Urban and regional research is crucial for many applications such as public participation, land use, disaster management, and environmental monitoring, but it is a time-consuming and expensive procedure to collect necessary data. Remote sensing is an effective technology for urban observation, however, the spatial, spectral, and temporal resolution of observation sensors limits many situations in which remote sensing data cannot be fully utilized, especially in the field of urban observation. Recently, with the popularity of internet and smart mobile devices, social media containing spatial information is evolving rapidly, such as tweets, Flickr photos, and geolocated posts. These location-based social media data are leading new research areas, new technologies and methods, and new insights into urban observation. In this paper, we provide an overview on the integration and joint analysis of remote sensing and social media data in urban observation applications. We describe four opportunities in exploiting social media data: to investigate the relationship among humans, environment and urban, to help urban planning, to manage urban disaster, and to monitor urban environment. Although significant possibilities for a combination of remote sensing and social media data can be seen, our survey suggests that the fusion of these data sources will continue to profoundly change these technologies.
引用
收藏
页码:4252 / 4264
页数:13
相关论文
共 122 条
[1]   Processing Social Media Images by Combining Human and Machine Computing during Crises [J].
Alam, Firoj ;
Ofli, Ferda ;
Imran, Muhammad .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2018, 34 (04) :311-327
[2]  
[Anonymous], 2012 20 INT C GEOINF
[3]  
[Anonymous], 2014, Master thesis, DOI [10.1109/BTAS.2014.6996295, DOI 10.1145/2593069.2593124]
[4]  
[Anonymous], COMPUTER INFORM SCI
[5]  
[Anonymous], 2017, ARXIV170801580
[6]  
Backstrom L., 2010, Proceedings of the 19th international conference on World wide web, P61, DOI [DOI 10.1145/1772690.1772698, 10.1145/1772690.1772698]
[7]   The Semantic Gap: An Exploration of User and Computer Perspectives in Earth Observation Images [J].
Bahmanyar, Reza ;
de Oca, Ambar Murillo Montes ;
Datcu, Mihai .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (10) :2046-2050
[8]   Quantifying the emotional impact of events on locations with social media [J].
Bernabe-Moreno, J. ;
Tejeda-Lorente, A. ;
Porcel, C. ;
Fujita, H. ;
Herrera-Viedma, E. .
KNOWLEDGE-BASED SYSTEMS, 2018, 146 :44-57
[9]  
Beyer M., 2011, GARTNER
[10]   A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images [J].
Bruzzone, Lorenzo ;
Bovolo, Francesca .
PROCEEDINGS OF THE IEEE, 2013, 101 (03) :609-630