NDLI: Registration techniques for multimodal images and its application

Content Provider	IEEE Xplore Digital Library
Author	Mashiko, R. Iwasaki, A.
Copyright Year	2011
Description	Author affiliation: Research Center for Advanced Science and Technology, the University of Tokyo, Japan (Mashiko, R.; Iwasaki, A.)
Abstract	Registration between multimodal images is carried out using mutual information (MI) as a similarity measure. MI registration does not require linearity between two images; therefore, this method is effective in registration between multimodal images. First, corresponding points between multiband images are obtained in sub-pixel level. We evaluated the sub-pixel registration errors between two images. In this case, MI shows more accurate performance than sum square distance (SSD) and normalized cross-correlation (NCC). This result shows that the technique is robust with respect to variants of illumination or wavelength of observation band. Second, image-to-map registration is also successful. These results proved the potential of MI to build GIS with satellite images and map data.
Starting Page	3027
Ending Page	3030
File Size	568790
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049854
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mutual information Estimation error Satellites Image matching Accuracy Remote sensing Mutual Information Image-Map Registration Sub-pixel Estimation
Content Type	Text
Resource Type	Article

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