Welcome to the InfoSci Platform
Reference Hub7
Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges

Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges

Xihuang Sun, Peng Liu, Yan Ma, Dingsheng Liu, Yechao Sun
Copyright: © 2016 |Volume: 7 |Issue: 1 |Pages: 14
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781466692121|DOI: 10.4018/IJDST.2016010101
Cite Article Cite Article

MLA

Sun, Xihuang, et al. "Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges." IJDST vol.7, no.1 2016: pp.1-14. http://doi.org/10.4018/IJDST.2016010101

APA

Sun, X., Liu, P., Ma, Y., Liu, D., & Sun, Y. (2016). Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges. International Journal of Distributed Systems and Technologies (IJDST), 7(1), 1-14. http://doi.org/10.4018/IJDST.2016010101

Chicago

Sun, Xihuang, et al. "Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges," International Journal of Distributed Systems and Technologies (IJDST) 7, no.1: 1-14. http://doi.org/10.4018/IJDST.2016010101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The explosion of data and the increase in processing complexity, together with the increasing needs of real-time processing and concurrent data access, make remote sensing data streaming processing a wide research area to study. This paper introduces current situation of remote sensing data processing and how timely remote sensing data processing can help build future smart cities. Current research on remote sensing data streaming is also introduced where the three typical and open-source stream processing frameworks are introduced. This paper also discusses some design concerns for remote sensing data streaming processing systems, such as data model and transmission, system model, programming interfaces, storage management, availability, etc. Finally, this research specifically addresses some of the challenges of remote sensing data streaming processing, such as scalability, fault tolerance, consistency, load balancing and throughput.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.