Real-Time Big Data Analytical Architecture for Remote Sensing Application

doi:10.1109/JSTARS.2015.2424683

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Real-Time Big Data Analytical Architecture for Remote Sensing Application
	Rathore, Muhammad Mazhar Ullah 2; Paul, Anand 2; Ahmad, Awais 2; Chen, Bo-Wei 3; Huang, Bormin 4; Ji, Wen 1
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2015-10-01
卷号	8 期号:10 页码:4610-4621
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)
ISSN号	1939-1404
DOI	10.1109/JSTARS.2015.2424683
英文摘要	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.
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
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000368904000002
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/8843]
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.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Kyungpook Natl Univ, Sch Comp Sci & Engn, Taegu 702701, South Korea 3.Natl Cheng Kung Univ, Dept Elect Engn, Tainan 70101, Taiwan 4.Univ Wisconsin, Space Sci & Engn Ctr, Cooperat Inst Meteorol Satellite Studies, Madison, WI 53706 USA
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.