Journal of Jilin University(Information Science Ed ›› 2018, Vol. 36 ›› Issue (2): 142-149.
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REN Weijian1a,1b, WANG Nan1a,1b, WANG Ziwei2, REN Lu3, LOU Hongliang4
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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
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REN Weijian, WANG Nan, WANG Ziwei, REN Lu, LOU Hongliang. Research on Remote Sensing Image of UAV Fusion Algorithm[J].Journal of Jilin University(Information Science Ed, 2018, 36(2): 142-149.
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http://xuebao.jlu.edu.cn/xxb/EN/Y2018/V36/I2/142
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