Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms
Joint Authors
Han, Youkyung
Choi, Jaewan
Jung, Jinha
Chang, Anjin
Oh, Sungchan
Yeom, Junho
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Image coregistration is a key preprocessing step to ensure the effective application of very-high-resolution (VHR) orthophotos generated from multisensor images acquired from unmanned aerial vehicle (UAV) platforms.
The most accurate method to align an orthophoto is the installation of air-photo targets at a test site prior to flight image acquisition, and these targets were used as ground control points (GCPs) for georeferencing and georectification.
However, there are time and cost limitations related to installing the targets and conducting field surveys on the targets during every flight.
To address this problem, this paper presents an automated coregistration approach for orthophotos generated from VHR images acquired from multisensors mounted on UAV platforms.
Spatial information from the orthophotos, provided by the global navigation satellite system (GNSS) at each image’s acquisition time, is used as ancillary information for phase correlation-based coregistration.
A transformation function between the multisensor orthophotos is then estimated based on conjugate points (CPs), which are locally extracted over orthophotos using the phase correlation approach.
Two multisensor datasets are constructed to evaluate the proposed approach.
These visual and quantitative evaluations confirm the superiority of the proposed method.
American Psychological Association (APA)
Han, Youkyung& Choi, Jaewan& Jung, Jinha& Chang, Anjin& Oh, Sungchan& Yeom, Junho. 2019. Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms. Journal of Sensors،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1187345
Modern Language Association (MLA)
Han, Youkyung…[et al.]. Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms. Journal of Sensors No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1187345
American Medical Association (AMA)
Han, Youkyung& Choi, Jaewan& Jung, Jinha& Chang, Anjin& Oh, Sungchan& Yeom, Junho. Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1187345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187345