Real-Time Big Data Analytical Architecture for Remote Sensing Application

doi:10.1109/JSTARS.2015.2424683

	Real-Time Big Data Analytical Architecture for Remote Sensing Application
	Rathore, Muhammad Mazhar Ullah 1; Paul, Anand 1; Ahmad, Awais 1; Chen, Bo-Wei 2; Huang, Bormin 3; Ji, Wen 4
	2015-10-01
发表期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
卷号	8 期号:10 页码:4610-4621
摘要	The assets of remote senses digital world daily generate massive volume of real-time data (mainly referred to the term "Big Data"), where insight information has a potential significance if collected and aggregated effectively. In today's era, there is a great deal added to real-time remote sensing Big Data than it seems at first, and extracting the useful information in an efficient manner leads a system toward a major computational challenges, such as to analyze, aggregate, and store, where data are remotely collected. Keeping in view the above mentioned factors, there is a need for designing a system architecture that welcomes both real-time, as well as offline data processing. Therefore, in this paper, we propose real-time Big Data analytical architecture for remote sensing satellite application. The proposed architecture comprises three main units, such as 1) remote sensing Big Data acquisition unit (RSDU); 2) data processing unit (DPU); and 3) data analysis decision unit (DADU). First, RSDU acquires data from the satellite and sends this data to the Base Station, where initial processing takes place. Second, DPU plays a vital role in architecture for efficient processing of real-time Big Data by providing filtration, load balancing, and parallel processing. Third, DADU is the upper layer unit of the proposed architecture, which is responsible for compilation, storage of the results, and generation of decision based on the results received from DPU. The proposed architecture has the capability of dividing, load balancing, and parallel processing of only useful data. Thus, it results in efficiently analyzing real-time remote sensing Big Data using earth observatory system. Furthermore, the proposed architecture has the capability of storing incoming raw data to perform offline analysis on largely stored dumps, when required. Finally, a detailed analysis of remotely sensed earth observatory Big Data for land and sea area are provided using Hadoop. In addition, various algorithms are proposed for each level of RSDU, DPU, and DADU to detect land as well as sea area to elaborate the working of an architecture.
关键词	Big Data data analysis decision unit (DADU) data processing unit (DPU) land and sea area offline real-time remote senses remote sensing Big Data acquisition unit (RSDU)
DOI	10.1109/JSTARS.2015.2424683
收录类别	SCI
语种	英语
资助项目	IT R&D Program of MSIP/IITP[10041145] ; Brain Korea 21 Plus Project (SW Human Resource Development Program for Supporting Smart Life) - Ministry of Education, School of Computer Science and Engineering, Kyungpook National University, Korea[21A20131600005]
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000368904000002
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：98[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8844
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Rathore, Muhammad Mazhar Ullah
作者单位	1.Kyungpook Natl Univ, Sch Comp Sci & Engn, Taegu 702701, South Korea 2.Natl Cheng Kung Univ, Dept Elect Engn, Tainan 70101, Taiwan 3.Univ Wisconsin, Space Sci & Engn Ctr, Cooperat Inst Meteorol Satellite Studies, Madison, WI 53706 USA 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Rathore, Muhammad Mazhar Ullah,Paul, Anand,Ahmad, Awais,et al. Real-Time Big Data Analytical Architecture for Remote Sensing Application[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(10):4610-4621.
APA	Rathore, Muhammad Mazhar Ullah,Paul, Anand,Ahmad, Awais,Chen, Bo-Wei,Huang, Bormin,&Ji, Wen.(2015).Real-Time Big Data Analytical Architecture for Remote Sensing Application.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(10),4610-4621.
MLA	Rathore, Muhammad Mazhar Ullah,et al."Real-Time Big Data Analytical Architecture for Remote Sensing Application".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.10(2015):4610-4621.