一种基于重叠区指数化互相关和优化Dijkstra算法的航摄影像镶嵌线选取方法  

A Seamline Determination Method for Aerial Images Based on Exponential Cross Correlation and Optimized Dijkstra’s Algorithm

作　　者：刘瀚阳 王博帅 王凤艳[1] 牛雪峰[1] Liu Hanyang;Wang Boshuai;Wang Fengyan;Niu Xuefeng(College of GeoExploration Science and Technology,Jilin University,Changchun130026,China)

机构地区：[1]吉林大学地球探测科学与技术学院,长春130026

出　　处：《吉林大学学报（地球科学版）》2022年第2期662-668,共7页Journal of Jilin University：Earth Science Edition

基　　金：国家自然科学基金项目(42077242)。

摘　　要：航摄影像因含有丰富的地理信息而成为实用的可视化产品和决策工具.通常需要将多幅航摄影像沿镶嵌线拼接才能覆盖研究区域,因此如何选取最优航摄影像镶嵌线具有研究意义.本文提出了一种新颖的航摄影像镶嵌线选取方法.首先构造一种指数化互相关方法,高质量地表达航摄影像重叠对应区域的错位程度;其次优化Dijkstra算法,在重叠区找出错位差异最小的路径作为航摄影像镶嵌线;最后使用两组来自城市和城镇区域的航摄影像将本文方法与相关方法进行对比,结果表明使用本文方法获取的镶嵌线穿越更少的独立地物且用时更短.Aerial image has become a practical visualization product and decision-making tool because of its rich geographical information.Usually,it is necessary to splicing multiple aerial images along the seamline to cover the research areas.So how to select the optimal seamline is of research significance.This paper presents a new method for selecting aerial image seamlines:firstly,an exponential cross-correlation method is constructed to express the dislocation degree of the corresponding area of the aerial images with high quality;secondly,the Dijkstra algorithm is optimized to find the path with the least dislocation difference in the overlapping region as the optimal seamline;finally,two sets of aerial images from the designated cities and urban areas are used to compare with the related methods.The results show that the seamline obtained by the proposed method passes through fewer independent ground objects,and it takes less time.

关 键 词：指数化互相关 错位差异函数 镶嵌线选取 航摄影像 优化Dijkstra算法 

分 类 号：P237[天文地球—摄影测量与遥感]