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Camera geolocation using digital elevation models in hilly area

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Pan, Zhibin, Tang, Jin, Tjahjadi, Tardi, Xiao, Xiaoming and Wu, Zhihu (2020) Camera geolocation using digital elevation models in hilly area. Applied Sciences, 10 (19). 6661. doi:10.3390/app10196661 ISSN 2076-3417.

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Official URL: http://dx.doi.org/10.3390/app10196661

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Abstract

he geolocation of skyline provides an important application in unmanned vehicles, unmanned aerial vehicles, and other fields. However, the existing methods are not effective in hilly areas. In this paper, we analyze the difficulties to locate in hilly areas and propose a new geolocation method. According to the vegetation in hilly area, two new skyline features, enhanced angle chain code and lapel point, are proposed. In order to deal with the skyline being close to the camera, we also propose a matching method which incorporates skyline distance heatmap and skyline pyramid. The experimental results show that the proposed method is highly effective in hilly area and has a robust performance against noise and rotation effects.

Item Type: Journal Article
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Geospatial data -- Computer programs, Geographic information systems, Pattern perception, Mobile communication systems, Wireless communication systems, Mobile geographic information systems
Journal or Publication Title: Applied Sciences
Publisher: MDPI
ISSN: 2076-3417
Official Date: 23 September 2020
Dates:
DateEvent
23 September 2020Published
21 September 2020Accepted
Volume: 10
Number: 19
Article Number: 6661
DOI: 10.3390/app10196661
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 5 October 2020
Date of first compliant Open Access: 6 October 2020

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