DocumentCode :
2206263
Title :
Automatic registration of SAR and optical images based on mutual information assisted Monte Carlo
Author :
Siddique, Muhammad Adnan ; Sarfraz, M. Saquib ; Bornemann, David ; Hellwich, Olaf
Author_Institution :
Comput. Vision (COMVis) Res. Group, COMSATS Inst. of IT, Lahore, Pakistan
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
1813
Lastpage :
1816
Abstract :
The development of Geographical Information Systems applications involving fusion of data from different space-borne imaging sensors inevitably requires a preliminary registration of the images. In case of Synthetic Aperture Radar (SAR) and optical sensors, the registration is particularly challenging due to the vast radiometric differences in the data. In this paper, we present a novel method to register SAR and optical images automatically. It provides an accurate registration despite the radiometric differences in the images. Moreover, this paper introduces a Monte Carlo formulation of the image registration problem.
Keywords :
geographic information systems; geophysical image processing; geophysical techniques; image fusion; image registration; radar imaging; synthetic aperture radar; GIS applications; Monte Carlo formulation; SAR image automatic registration; SAR sensor; data fusion; geographical information systems; image registration problem; mutual information; optical image automatic registration; optical sensor; space-borne imaging sensors; synthetic aperture radar; Feature extraction; Monte Carlo methods; Optical imaging; Optical sensors; Radiometry; Synthetic aperture radar; Image registration; Monte Carlo; Mutual Information; Optical sensors; Random features; SAR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351159
Filename :
6351159
Link To Document :
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