Journal of Jilin University(Information Science Ed ›› 2018, Vol. 36 ›› Issue (2): 142-149.

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Research on Remote Sensing Image of UAV Fusion Algorithm

REN Weijian1a,1b, WANG Nan1a,1b, WANG Ziwei2, REN Lu3, LOU Hongliang4   

  1. 1a. School of Electrical Engineering & Information; 1b. Heilongjiang Provincial Key Laboratory of Networking & Intelligent Control, Northeast Petroleum University, Daqing 163318, China;2. Asset Integrity Manage Center, CNOOC Safety Technology Services Company Limited, Tianjin 300457, China;3. Engineering Company, Offshore Oil Engineering Company Limited, Tianjin 300450, China;4. Measuring Instrument Section, Daqing Oilfield Construction Design and Research Institute, Daqing 163712, China
  • Received:2017-04-24 Online:2018-03-24 Published:2018-07-25
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Abstract: The solution to the problems of low resolution and obvious stitching line in fusion area after image mosaic is proposed, by introducing irregular overlapping region generating method based on piecewise linear approximation to reduce algorithm error and using adaptive algorithm based on distance ratio to implement the automatic matching of weights, which can make sure the algorithm get more accurate results without being restricted to the shape of overlapping region. The simulation showed the improved weighted average fusion algorithm achieved the purpose of removing the stitching gap and smoothing the fusion area with the same rapidity as original algorithm's and was able to obtain large field of view images with better fusion quality.

Key words: unmanned aerial vehicle (UAV), remote sensing image, weighted average fusion algorithm;image mosaic

CLC Number: 

  • TP751