摘要
无人机影像重叠度的统计分析是对飞行质量和航拍效果进行验证的重要手段,也是研究无人机数据冗余的重要参考指标.现有的统计方法的效率低下,不能够大批量地统计多个架次的影像重叠度信息,确定影像的冗余量.因此提出一种新的重叠度统计方法——基于图像匹配的影像重叠度统计方法,该方法采用图像匹配的原理对航拍影像进行重叠度的计算.经过实验分析基于图像匹配的影像重叠度统计方法效率比现有的统计方法提高60%以上,而且可以大批量、高精度地统计航拍影像的重叠度.
The statistical analysis of the overlap degrees of UAV images is an important means to verify the flight quality and aerial photograph effect,and also an important reference index to study the data redundancy of UAV. The existing statistical methods are inefficient and can not count the overlaps of multiple images in large quantities to determine the redundancy of images. Therefore,a new statistical method of overlap degrees based on image matching is proposed,which uses the principle of image matching to calculate the overlap degrees of aerial images. The experiments show that the efficiency of the image overlap statistical method based on image matching is improved by more than 60% compared with the existing statistical method and large-volume,high-precision statistical aerial image overlaps can be done.
作者
刘望明
胡荣明
史小亮
LIU Wangming;HU Rongming;SHI Xiaoliang(Shaanxi Railway Institute,Weinan 714099,Shaanxi China;Xi'an University of Science and Technology,Xi'an 710054,China)
出处
《河南科学》
2019年第2期171-178,共8页
Henan Science
基金
国家自然科学基金(51409204)
陕西铁路工程职业技术学院2018年第二批科研基金项目(KY2018-79)
关键词
无人机
重叠度
图像匹配
UAV
overlap degree
image matching
作者简介
刘望明(1992-),男,助教,硕士,主要从事无人机图像处理方面研究工作.
