Cart (Loading....) | Create Account
Close category search window
 

Accelerating an Imaging Spectroscopy Algorithm for Submerged Marine Environments Using Graphics Processing Units

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Goodman, J.A. ; Univ. of Puerto Rico at Mayaguez, Mayaguez, Puerto Rico ; Kaeli, D. ; Schaa, D.

Remote sensing is utilized across a wide array of disciplines, including resource management, disaster relief planning, environmental assessment, and climate change impact analysis. The data volume and processing requirements associated with remote sensing are rapidly expanding as a result of the increasing number of satellite and airborne sensors, greater data accessibility, and expanded utilization of data intensive technologies such as imaging spectroscopy. However, due to the limited ability of current computing systems to gracefully scale with application requirements, particularly in the desktop level market, large amounts of data are currently underutilized or never explored. Computing limitations thus constrain our ability to efficiently and accurately address key science questions using remote sensing. The current evolution in general purpose computing on Graphics Processing Units (GPUs), an emerging technology that is redefining the field of high performance computing, facilitates significantly improved computing capabilities for current and future image analysis needs. We demonstrate the advantages of this technology by accelerating an imaging spectroscopy algorithm for submerged marine habitats using GPU computing. Results indicate that considerable improvement in performance can be achieved using a single GPU on a standard desktop computer. This technology has enormous potential for continued growth exploiting high performance computing, and provides the foundation for significantly enhanced remote sensing capabilities.

Published in:

Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of  (Volume:4 ,  Issue: 3 )

Date of Publication:

Sept. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.