Document Type
Editorial
Publication Date
2014
DOI
10.1117/1.oe.53.1.011001
Publication Title
Optical Engineering
Volume
53
Issue
1
Pages
011001-1 - 011001-2
Abstract
(First paragraph) The scientific community has been dealing with big data for a long time. Due to advancement in sensing, networking, and storage technology, other domains such as business, health, and social media followed. Data are considered the gold of the 21st century and are being collected, stored, and analyzed at a rapid pace. The amount of data being collected creates a compelling case for investing in hardware and software research to support generating even more data from new sensors and with better quality. It also creates a compelling case for investing in research and development of new hardware and software for data analytics. This special section of Optical Engineering explores the optical and hybrid imaging and processing technology that will enable capturing and analyzing large amounts of data or help stream the data for further exploration and analysis.
Original Publication Citation
Iftekharuddin, K. M., Awwal, A. A. S., Young, S. S., & Abdulla, G. M. (2014). Optical and hybrid imaging and processing for big data problems. Optical Engineering, 53(1), 011001-011001 - 011001-011002. doi:10.1117/1.oe.53.1.011001
Repository Citation
Iftekharuddin, Khan; Awwal, Abdul A. S.; Young, S. Susan; and Abdulla, Ghaleb M., "Optical and Hybrid Imaging and Processing for Big Data Problems" (2014). Electrical & Computer Engineering Faculty Publications. 166.
https://digitalcommons.odu.edu/ece_fac_pubs/166
ORCID
0000-0001-8316-4163 (Iftekharuddin)
Comments
Web of Science: "Free full-text from publisher."