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http://dx.doi.org/10.7780/kjrs.2018.34.6.1.5

A Method to Improve Matching Success Rate between KOMPSAT-3A Imagery and Aerial Ortho-Images  

Shin, Jung-Il (Research Center of Geoinformatic Engineering, Inha University)
Yoon, Wan-Sang (Research Center of Geoinformatic Engineering, Inha University)
Park, Hyeong-Jun (Research Center of Geoinformatic Engineering, Inha University)
Oh, Kwan-Young (Satellite Application Center, Korea Aerospace Research Institute)
Kim, Tae-Jung (Research Center of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.34, no.6_1, 2018 , pp. 893-903 More about this Journal
Abstract
The necessity of automatic precise georeferencing is increasing with the increase applications of high-resolution satellite imagery. One of the methods for collecting ground control points (GCPs) for precise georeferencing is to use chip images obtained by extracting a subset of an image map such as an ortho-aerial image, and can be automated using an image matching technique. In this case, the importance of the image matching success rate is increased due to the limitation of the number of the chip images for the known reference points such as the unified control point. This study aims to propose a method to improve the success rate of image matching between KOMPSAT-3A images and GCP chip images from aerial ortho-images. We performed the image matching with 7 cases of band pair using KOMPSAT-3A panchromatic (PAN), multispectral (MS), pansharpened (PS) imagery and GCP chip images, then compared matching success rates. As a result, about 10-30% of success rate is increased to about 40-50% when using PS imagery by using PAN and MS imagery. Therefore, using PS imagery for image matching of KOMPSAT-3A images and aerial ortho-images would be helpful to improve the matching success rate.
Keywords
KOMPSAT-3A; Image Matching; Aerial Ortho-Image; GCP Chip Image;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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