吉林大学学报（信息科学版）2018，Vol.36Issue(2)：142-149,8.
无人机遥感图像融合方法研究
Research on Remote Sensing Image of UAV Fusion Algorithm
摘要
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.关键词
无人机/遥感图像/加权平均融合算法/图像拼接Key words
unmanned aerial vehicle ( UAV )/remote sensing image/weighted average fusion algorithm/image mosaic分类
信息技术与安全科学引用本文复制引用
任伟建,王楠,王子维,任璐,娄洪亮..无人机遥感图像融合方法研究[J].吉林大学学报（信息科学版）,2018,36(2):142-149,8.基金项目
国家自然科学基金资助项目(61374127) （61374127）
黑龙江省博士后科研启动资金资助项目(LBH-Q12143) （LBH-Q12143）
