吉林大学学报(信息科学版) ›› 2018, Vol. 36 ›› Issue (2): 142-149.

• 论文 • 上一篇    下一篇

无人机遥感图像融合方法研究

任伟建1a,1b, 王楠1a,1b, 王子维2, 任璐3, 娄洪亮4   

  1. 1. 东北石油大学a. 电气信息工程学院; b. 黑龙江省网络化与智能控制重点实验室, 大庆163318;2. 中海油安全技术服务有限公司资产完整性管理中心, 天津300457;3. 海洋石油工程股份有限公司设计公司, 天津300450; 4. 大庆油田建设设计研究院计量仪表室, 大庆163712
  • 收稿日期:2017-04-24 出版日期:2018-03-24 发布日期:2018-07-25
  • 作者简介:任伟建(1963—), 女, 黑龙江泰来人, 东北石油大学教授, 博士生导师, 主要从事复杂系统的建模与控制等研究, (Tel) 86-13845901386(E-mail)renwj@126. com。
  • 基金资助:
    国家自然科学基金资助项目(61374127); 黑龙江省博士后科研启动资金资助项目(LBH-Q12143)

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
  • Supported by:
     

摘要: 针对待拼接的无人机遥感图像重叠区域不规则、焦距不固定、含噪声较多等问题, 在加权平均融合算法的基础上引入基于折线化思想的不规则重叠区域生成法, 减小算法误差, 并运用基于距离比的自适应算法实现权值自动匹配, 使算法在不受重叠区域形状限制的同时得到更精确的计算结果, 解决了图像拼接后融合区域分辨率低、拼接线明显的问题。仿真表明, 改进的加权平均融合算法在保持原算法快速性的同时, 达到了去除拼接缝隙、使图像融合区域过渡平滑的目的, 并获得了融合质量较好的大视野无缝拼接图像。

关键词: 遥感图像, 加权平均融合算法, 无人机, 图像拼接

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

中图分类号: 

  • TP751