Improvement of Direct Georeferencing using Unmanned Aerial Vehicle Images Acquired at the Maritime

Title
Improvement of Direct Georeferencing using Unmanned Aerial Vehicle Images Acquired at the Maritime
Author(s)
유형석; 김근용; 이임평; 유주형
KIOST Author(s)
Kim, Keunyong(김근용)Ryu, Joo Hyung(유주형)
Publication Year
2019-04-18
Abstract
Recently, UAV images have been used to monitor various marine accidents and environmental pollution, such as ship accidents, oil spill and red tide detection. In case of acquired images on the marine, it is difficult to apply georeferencing method since it is hard to obtain tie points between images and ground control points (GCPs). To overcome this problem, we propose an improved direct georeferencing method to determine the exterior orientation parameters (EOPs) of the UAVoptical images. Improved georeferencing method is determining to EOPs, which is based on aerial triangulation using intermittently observed GCPs. In other words, Assuming that there is a bias in GPS/INS data, the relative relationship constructed as the result of direct georeferencing. That relationship is absolutely corrected using the ground control points based on aerial triangulation. We verified the accuracy of the georeferenced EO. The georeferenced images consist of 81 images. These images were classified into the ground or the ocean images according to the main target areas acquired altitude and place from the ground or the ocean. As the result of the study, The Root Mean Square Error (RMSE) of the CPsfor the EOPs of the images from the ground was determined to be 2.69 m based on the direct georeferencing and 0.52 m based on the proposed method. The RMSE of the CPs for the images from the marine was determined to be 3.44 m based on the d
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/22776
Bibliographic Citation
2019 International Symposium on Remote Sensing, pp.211, 2019
Publisher
Korean Society of Remote Sensing
Type
Conference
Language
English
Publisher
Korean Society of Remote Sensing
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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