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http://dx.doi.org/10.7848/ksgpc.2018.36.6.581

RNCC-based Fine Co-registration of Multi-temporal RapidEye Satellite Imagery  

Han, Youkyung (School of Convergence & Fusion System Engineering, Kyungpook National University)
Oh, Jae Hong (Department of Civil Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.36, no.6, 2018 , pp. 581-588 More about this Journal
Abstract
The aim of this study is to propose a fine co-registration approach for multi-temporal satellite images acquired from RapidEye, which has an advantage of availability for time-series analysis. To this end, we generate multitemporal ortho-rectified images using RPCs (Rational Polynomial Coefficients) provided with RapidEye images and then perform fine co-registration between the ortho-rectified images. A DEM (Digital Elevation Model) extracted from the digital map was used to generate the ortho-rectified images, and the RNCC (Registration Noise Cross Correlation) was applied to conduct the fine co-registration. Experiments were carried out using 4 RapidEye 1B images obtained from May 2015 to November 2016 over the Yeonggwang area. All 5 bands (blue, green, red, red edge, and near-infrared) that RapidEye provided were used to carry out the fine co-registration to show their possibility of being applicable for the co-registration. Experimental results showed that all the bands of RapidEye images could be co-registered with each other and the geometric alignment between images was qualitatively/quantitatively improved. Especially, it was confirmed that stable registration results were obtained by using the red and red edge bands, irrespective of the seasonal differences in the image acquisition.
Keywords
RapidEye; Fine Co-registration; RNCC; Multi-temporal Satellite Images;
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Times Cited By KSCI : 1  (Citation Analysis)
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