测绘学报 ›› 2015, Vol. 44 ›› Issue (10): 1108-1116.doi: 10.11947/j.AGCS.2015.20150088

• 摄影测量学与遥感 • 上一篇    下一篇

航空影像接缝线的分水岭分割优化方法

袁胜古1, 王密1,2, 潘俊1,2, 胡芬3, 李东阳4   

  1. 1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;
    2. 地球空间信息技术协同创新中心, 湖北 武汉 430079;
    3. 国家测绘地理信息局卫星测绘应用中心, 北京 100830;
    4. 浙江省地理信息中心, 浙江 杭州 310012
  • 收稿日期:2015-02-10 修回日期:2015-06-07 出版日期:2015-10-20 发布日期:2015-10-23
  • 通讯作者: 王密,E-mail:wangmi@whu.edu.cn E-mail:wangmi@whu.edu.cn
  • 作者简介:袁胜古(1985—),男,博士生,研究方向为影像分割、影像拼接及接缝线优化方法研究.E-mail:shengguyuan@whu.edu.cn
  • 基金资助:
    国家973计划(2014CB744201;2012CB719901);国家自然科学基金重点项目(91438203)国家自然科学基金(41371430;91438112);全国优秀博士学位论文作者专项资金资助项目(201249)

A Seamline Optimization Approach Based on Watershed Segmentation for Aerial Image Mosaicking

YUAN Shenggu1, WANG Mi1,2, PAN Jun1,2, HU Fen3, LI Dongyang4   

  1. 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China;
    3. Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100830, China;
    4. Geomatics Center of Zhejiang Province, Hangzhou 310012, China
  • Received:2015-02-10 Revised:2015-06-07 Online:2015-10-20 Published:2015-10-23
  • Supported by:
    The National Basic Research Program of China (973 Program) (Nos.2014CB744201,2012CB719901),The Key Program of National Natural Science Foundation of China (No. 91438203),The National Natural Science Foundation of China (Nos. 41371430,91438112),Foundation for the Author of National Excellent Doctoral Dissertation of China (No. 201249)

摘要: 提出了一种基于自适应标记分水岭分割的航空影像接缝线优化方法.该方法利用分割区域差异确定接缝线优先穿越区域,然后在优先穿越区域中使用基于最小二叉堆的Dijkstra最短路径算法得到最终的接缝线.试验表明,本文方法获得的接缝线能很好地避开投影差较大的区域,与其他算法的比较也表明本文方法具有更好的效果和效率.

关键词: 正射影像镶嵌, 接缝线优化, 标记分水岭分割

Abstract: Seamline optimization is a key step in the process of aerial image seamless mosaicking.This paper presents a novel algorithm of seamline optimization for aerial image mosaicking by adaptive marker-based watershed segmentation.The preferred region is determined by the difference of the region achieved by adaptive marker-based watershed segmentation. Then, the minimum binary heap Dijkstra's algorithm is adopted to determine the final seamlines in the preferred region. The experimental results show that the seamline determined by our method can avoid crossing obvious stand-alone objects. Compared with other algorithms,our method has higher feasibility and higher speed.

Key words: orthoimage mosaicking, seamline optimization, marker-based watershed segmentation

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