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http://dx.doi.org/10.7780/kjrs.2016.32.6.9

Comparison of Match Candidate Pair Constitution Methods for UAV Images Without Orientation Parameters  

Jung, Jongwon (Department of Geoinformatic Engineering, Inha University)
Kim, Taejung (Department of Geoinformatic Engineering, Inha University)
Kim, Jaein (Department of Geoinformatic Engineering, Inha University)
Rhee, Sooahm (3DLabs Co., Ltd.)
Publication Information
Korean Journal of Remote Sensing / v.32, no.6, 2016 , pp. 647-656 More about this Journal
Abstract
Growth of UAV technology leads to expansion of UAV image applications. Many UAV image-based applications use a method called incremental bundle adjustment. However, incremental bundle adjustment produces large computation overhead because it attempts feature matching from all image pairs. For efficient feature matching process we have to confine matching only for overlapping pairs using exterior orientation parameters. When exterior orientation parameters are not available, we cannot determine overlapping pairs. We need another methods for feature matching candidate constitution. In this paper we compare matching candidate constitution methods without exterior orientation parameters, including partial feature matching, Bag-of-keypoints, image intensity method. We use the overlapping pair determination method based on exterior orientation parameter as reference. Experiment results showed the partial feature matching method in the one with best efficiency.
Keywords
UAV; Photogrammetry; Bundle adjustment; Feature matching;
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