DocumentCode :
1671670
Title :
Mapping of visible to IR data for scene matching
Author :
Chaudhry, M. Ali ; Baig, Asim ; Nawaz, Rab
Author_Institution :
CESAT, Islamabad, Pakistan
fYear :
2012
Firstpage :
54
Lastpage :
57
Abstract :
Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.
Keywords :
image matching; infrared imaging; statistical distributions; IR data; IR spectrum; MI index; electro-optical images; gray level distribution; infrared images; multimodal image acquisition; multitemporal image acquisition; mutual information; scene matching; similarity measures; statistical dependence measure; statistical technique; transformation function; visible mapping; Estimation; Image resolution; Integrated optics; Optical imaging; Optical sensors; Optical variables measurement; Sea measurements; Electr-ooptical; Infra-red; Multi-modal; Multi-temporal; Mutual information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Sciences and Technology (IBCAST), 2012 9th International Bhurban Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4577-1928-8
Type :
conf
DOI :
10.1109/IBCAST.2012.6177526
Filename :
6177526
Link To Document :
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