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http://dx.doi.org/10.7848/ksgpc.2022.40.3.217

Quality Evaluation of Drone Image using Siemens star  

Lee, Jae One (Dept. of Civil Engineering, Dong-A University)
Sung, Sang Min (CCZ Forest Management Office, Korea Forest Conservation Association)
Back, Ki Suk (School of Building & Environment Design, Ulsan College)
Yun, Bu Yeol (Dept. of Real Estate, Chang-Shin University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.40, no.3, 2022 , pp. 217-226 More about this Journal
Abstract
In the view of the application of high-precision spatial information production, UAV (Umanned Aerial Vehicle)-Photogrammetry has a problem in that it lacks specific procedures and detailed regulations for quantitative quality verification methods or certification of captured images. In addition, test tools for UAV image quality assessment use only the GSD (Ground Sample Distance), not MTF (Modulation Transfer Function), which reflects image resolution and contrast at the same time. This fact makes often the quality of UAV image inferior to that of manned aerial image. We performed MTF and GSD analysis simultaneously using a siemens star to confirm the necessity of MTF analysis in UAV image quality assessment. The analyzing results of UAV images taken with different payload and sensors show that there is a big difference in σMTF values, representing image resolution and the degree of contrast, but slightly different in GSD. It concluded that the MTF analysis is a more objective and reliable analysis method than just the GSD analysis method, and high-quality drone images can only be obtained when the operator make images after judging the proper selection the sensor performance, image overlaps, and payload type. However, the results of this study are derived from analyzing only images acquired by limited sensors and imaging conditions. It is therefore expected that more objective and reliable results will be obtained if continuous research is conducted by accumulating various experimental data in related fields in the future.
Keywords
UAV photogrammetry; Modulation Transfer Function; Ground Sample Distance; Image quality;
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Times Cited By KSCI : 2  (Citation Analysis)
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