Title
Particle Swarm Optimization of RFM for Georeferencing of Satellite Images
Abstract
Rational function models (RFMs) provide one of the best methods of extracting spatial information from high-resolution satellite images, particularly when sensor parameters cannot be accessed. RFM terms have no physical meaning, and hence, all of these terms are typically used in conventional solutions. As a result, more ground control points (GCPs) are required, and the model is prone to overpara...
Year
DOI
Venue
2013
10.1109/LGRS.2012.2195153
IEEE Geoscience and Remote Sensing Letters
Keywords
DocType
Volume
Optimization,Accuracy,Particle swarm optimization,Polynomials,Genetic algorithms,Mathematical model,Remote sensing
Journal
10
Issue
ISSN
Citations 
1
1545-598X
4
PageRank 
References 
Authors
0.51
5
4
Name
Order
Citations
PageRank
somayeh yavari140.51
Mohammad Javad Valadan Zoej26510.19
Ali Mohammadzadeh39212.11
Mehdi Mokhtarzade4718.10