Paper Info
Title
A parallel mutual information based image registration algorithm for applications in remote sensing
Abstract
Image registration is a classical problem that addresses the problem of finding a geometric transformation that best aligns two images. Since the amount of multisensor remote sensing imagery are growing tremendously, the search for matching transformation with mutual information is very time-consuming and tedious, and fast and automatic registration of images from different sensors has become critical in the remote sensing framework. So the implementation of automatic mutual information based image registration methods on high performance machines needs to be investigated. First, this paper presents a parallel implementation of a mutual information based image registration algorithm. It takes advantage of cluster machines by partitioning of data depending on the algorithm's peculiarity. Then, the evaluation of the parallel registration method has been presented in theory and in experiments and shows that the parallel algorithm has good parallel performance and scalability.
Year
DOI
Venue
2006
10.1007/11946441_45
ISPA
Keywords
Field
DocType
parallel algorithm,image registration method,parallel implementation,image registration,mutual information,good parallel performance,parallel mutual information,automatic registration,image registration algorithm,parallel registration method,automatic mutual information,remote sensing
Computer science,Sensor array,Remote sensing,SIMD,Image processing,Geometric transformation,Artificial intelligence,Computer vision,Parallel algorithm,Algorithm,Mutual information,Image registration,Scalability
Conference
Volume
ISSN
ISBN
4330
0302-9743
3-540-68067-5
Citations 
PageRank 
References 
2
0.37
17
Authors
5
Name
Order
Citations
PageRank
Yunfei Du17214.62
Haifang Zhou2359.33
Panfeng Wang3346.12
Xuejun Yang467873.26
Hengzhu Liu58623.28