Ma, Yan, Wu, Haiping, Wang, Lizhe, Huang, Bormin, Ranjan, Rajiv, Zomaya, Albert and Jie, Wei ORCID: https://orcid.org/0000-0002-5392-0009 (2015) Remote sensing big data computing: challenges and opportunities. Future Generation Computer Systems, 51. pp. 47-60. ISSN 0167-739X

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Abstract

As we have entered an era of high resolution earth observation, the RS data are undergoing an explosive
growth. The proliferation of data also give rise to the increasing complexity of RS data, like the diversity
and higher dimensionality characteristic of the data. RS data are regarded as RS ‘‘Big Data’’. Fortunately, we are witness the coming technological leapfrogging. In this paper, we give a brief overview on the Big Data and data-intensive problems, including the analysis of RS Big Data, Big Data challenges, current techniques and works for processing RS Big Data.

Item Type:	Article
Identifier:	10.1016/j.future.2014.10.029
Additional Information:	© 2014 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords:	Remote sensing data processing; Big data; Data-intensive computing
Subjects:	Computing
Depositing User:	WEI JIE
Date Deposited:	07 Mar 2016 14:21
Last Modified:	04 Nov 2024 12:19
URI:	https://repository.uwl.ac.uk/id/eprint/1732

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