Next Article in Journal
Optimizing Retransmission Threshold in Wireless Sensor Networks
Next Article in Special Issue
Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization
Previous Article in Journal
A Precise Drunk Driving Detection Using Weighted Kernel Based on Electrocardiogram
Previous Article in Special Issue
Cubature Information SMC-PHD for Multi-Target Tracking
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(5), 662; doi:10.3390/s16050662

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
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)
View Full-Text   |   Download PDF [7602 KB, uploaded 10 May 2016]   |  

Abstract

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
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top