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http://dx.doi.org/10.7848/ksgpc.2017.35.6.441

Image Registration of Drone Images through Association Analysis of Linear Features  

Choi, Han Seung (Dept. of GIS Engineering, Namseoul University)
Kim, Eui Myoung (Dept. of GIS Engineering, Namseoul University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.35, no.6, 2017 , pp. 441-452 More about this Journal
Abstract
Drones are increasingly being used to investigate disaster damage because they can quickly capture images in the air. It is necessary to extract the damaged area by registering the drones and the existing ortho-images in order to investigate the disaster damage. In this process, we might be faced the problem of registering two images with different time and spatial resolution. In order to solve this problem, we propose a new methodology that performs initial image transformation using line pairs extracted from images and association matrix, and final registration of images using linear features to refine the initial transformed result. The applicability of the newly proposed methodology in this study was evaluated through experiments using artifacts and the natural terrain areas. Experimental results showed that the root mean square error of artifacts and the natural terrain was 1.29 pixels and 4.12 pixels, respectively, and relatively high accuracy was obtained in the region with artifacts extracted a lot of linear information.
Keywords
Spatio-temporal Resolution; Drone Image; Linear Feature; Line Pairs; Association Matrix; Image Registration;
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Times Cited By KSCI : 1  (Citation Analysis)
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