Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 286963, 8 pages
http://dx.doi.org/10.1155/2014/286963
Research Article

Parallelized Dilate Algorithm for Remote Sensing Image

1School of Computer Project & Technology, Changchun Institute of Technology, Changchun 130012, China
2School of Computer & Information, Anqing Teachers College, Anqing 246011, China

Received 10 February 2014; Accepted 27 March 2014; Published 11 May 2014

Academic Editors: Z. Zhou and X. Zhu

Copyright © 2014 Suli Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

As an important algorithm, dilate algorithm can give us more connective view of a remote sensing image which has broken lines or objects. However, with the technological progress of satellite sensor, the resolution of remote sensing image has been increasing and its data quantities become very large. This would lead to the decrease of algorithm running speed or cannot obtain a result in limited memory or time. To solve this problem, our research proposed a parallelized dilate algorithm for remote sensing Image based on MPI and MP. Experiments show that our method runs faster than traditional single-process algorithm.