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16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04)
A Stochastic Optimization Scheme for Automatic Registration of Aerial Images
Boca Raton, Florida
November 15-November 17
ISBN: 0-7695-2236-X
ASCII Text
x 
 
S. K. Makrogiannis, N. G. Bourbakis, S. Borek, "A Stochastic Optimization Scheme for Automatic Registration of Aerial Images," Tools with Artificial Intelligence, IEEE International Conference on, pp. 328-336, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICTAI.2004.18,
author = {S. K. Makrogiannis and N. G. Bourbakis and S. Borek},
title = {A Stochastic Optimization Scheme for Automatic Registration of Aerial Images},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2004},
issn = {1082-3409},
pages = {328-336},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.18},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - A Stochastic Optimization Scheme for Automatic Registration of Aerial Images
SN - 1082-3409
SP328
EP336
A1 - S. K. Makrogiannis,
A1 - N. G. Bourbakis,
A1 - S. Borek,
PY - 2004
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
S. K. Makrogiannis, Wright State University
N. G. Bourbakis, Wright State University
S. Borek, AFRL/IFEC
The topic of this work is related to image registration of aerial images. This topic represents a very complicated problem especially when several variations and distortions occur. In addition to that, the requirement for an automated process further complicates this task. In this paper a stochastic optimization scheme is proposed using Genetic Algorithms to address misalignments caused by viewpoint, temporal and terrain variations of aerial images. A multiscale optical flow approach is applied next to achieve sub-pixel registration. Some experimental results are also presented to indicate the applicability of the proposed scheme.
Citation:
S. K. Makrogiannis, N. G. Bourbakis, S. Borek, "A Stochastic Optimization Scheme for Automatic Registration of Aerial Images," ictai, pp.328-336, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004
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