By Topic

A high performance remote sensing retrieval application on an institutional desktop Grid

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
$33 $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

4 Author(s)
Wan Wei ; State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P.O. Box 9718, Beijing 100101, China ; Yong Xue ; Shuning Lu ; Jie Guang

In this paper, we focus on making desktop grids adapted to remote sensing application. The initial efforts were made to build a remote sensing retrieval application on the RSIN framework for dealing with climate change, named high performance aerosol property retrieval software (HiPARS). HiPARS uses integration of applications that access the backend of desktop grid comprising of office PCs with a client. The HiPARS remote sensing application was built on RSIN framework, which uses the loose-coupled architecture of a desktop client and high throughput computing (HTC) and grid backend. It allows for fast development by enabling existing code and new algorithms, and provides a familiar graphical environment for remote sensing users. The proposed solution is to transition the current PCs to a desktop grid that can be cost-effectively sustained. It will be accessible for processing satellite data in quasi real-time, for parameter retrieving or for parallel processing efforts.

Published in:

2009 IEEE International Geoscience and Remote Sensing Symposium  (Volume:4 )

Date of Conference:

12-17 July 2009