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Article

An Efficient Seam Elimination Method for UAV Images Based on Wallis Dodging and Gaussian Distance Weight Enhancement

1
Beijing Key Laboratory for Geographic Information Systems and Environment and Resources, Capital Normal University, Beijing 100048, China
2
Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 2R7, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Felipe Gonzalez Toro and Antonios Tsourdos
Sensors 2016, 16(5), 662; https://doi.org/10.3390/s16050662
Received: 22 March 2016 / Revised: 29 April 2016 / Accepted: 2 May 2016 / Published: 10 May 2016
(This article belongs to the Special Issue UAV-Based Remote Sensing)
The rapid development of Unmanned Aerial Vehicle (UAV) remote sensing conforms to the increasing demand for the low-altitude very high resolution (VHR) image data. However, high processing speed of massive UAV data has become an indispensable prerequisite for its applications in various industry sectors. In this paper, we developed an effective and efficient seam elimination approach for UAV images based on Wallis dodging and Gaussian distance weight enhancement (WD-GDWE). The method encompasses two major steps: first, Wallis dodging was introduced to adjust the difference of brightness between the two matched images, and the parameters in the algorithm were derived in this study. Second, a Gaussian distance weight distribution method was proposed to fuse the two matched images in the overlap region based on the theory of the First Law of Geography, which can share the partial dislocation in the seam to the whole overlap region with an effect of smooth transition. This method was validated at a study site located in Hanwang (Sichuan, China) which was a seriously damaged area in the 12 May 2008 enchuan Earthquake. Then, a performance comparison between WD-GDWE and the other five classical seam elimination algorithms in the aspect of efficiency and effectiveness was conducted. Results showed that WD-GDWE is not only efficient, but also has a satisfactory effectiveness. This method is promising in advancing the applications in UAV industry especially in emergency situations. View Full-Text
Keywords: UAV; Wallis dodging; seam elimination; Gaussian distance weight enhancement; earthquake UAV; Wallis dodging; seam elimination; Gaussian distance weight enhancement; earthquake
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MDPI and ACS Style

Tian, J.; Li, X.; Duan, F.; Wang, J.; Ou, Y. An Efficient Seam Elimination Method for UAV Images Based on Wallis Dodging and Gaussian Distance Weight Enhancement. Sensors 2016, 16, 662. https://doi.org/10.3390/s16050662

AMA Style

Tian J, Li X, Duan F, Wang J, Ou Y. An Efficient Seam Elimination Method for UAV Images Based on Wallis Dodging and Gaussian Distance Weight Enhancement. Sensors. 2016; 16(5):662. https://doi.org/10.3390/s16050662

Chicago/Turabian Style

Tian, Jinyan, Xiaojuan Li, Fuzhou Duan, Junqian Wang, and Yang Ou. 2016. "An Efficient Seam Elimination Method for UAV Images Based on Wallis Dodging and Gaussian Distance Weight Enhancement" Sensors 16, no. 5: 662. https://doi.org/10.3390/s16050662

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