TY - JOUR
T1 - Remote sensing big data computing
T2 - Challenges and opportunities
AU - Ma, Yan
AU - Wu, Haiping
AU - Wang, Lizhe
AU - Huang, Bormin
AU - Ranjan, Rajiv
AU - Zomaya, Albert
AU - Jie, Wei
N1 - Publisher Copyright:
© 2014 Elsevier B.V.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Big data
KW - Data-intensive computing
KW - Remote sensing data processing
UR - http://www.scopus.com/inward/record.url?scp=84930575472&partnerID=8YFLogxK
U2 - 10.1016/j.future.2014.10.029
DO - 10.1016/j.future.2014.10.029
M3 - Article
SN - 0167-739X
VL - 51
SP - 47
EP - 60
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
ER -