建筑工地高分辨率无人机全景图像关键帧选取与拼接

孙光灵; 朱庆生; 李茜茹

doi:10.12152/j.issn.1672-2868.2019.03.007

巢湖学院学报 >

2019 , Vol. 21 >Issue 3: 40 - 46

DOI: https://doi.org/10.12152/j.issn.1672-2868.2019.03.007

信息科学

建筑工地高分辨率无人机全景图像关键帧选取与拼接

孙光灵 ,
朱庆生 ,
李茜茹

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安徽建筑大学信息网络中心，安徽合肥230601

孙光灵(1976-),男,安徽淮南人,安徽建筑大学信息网络中心讲师,主要从事图形图像处理、人工智能、模式识别等研究。

收稿日期: 2019-04-21

网络出版日期: 2019-05-25

基金资助

基金项目：安徽建筑大学硕博基金（项目编号：JY16-3-241）；安徽建筑大学产学研项目（合同号：AJ-CXY-KF-18-15）；安徽建筑大学开放实验室项目（项目编号：2017kf10）

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Key Frame Selection and Mosaic of High Resolution UAV Panoramic Images of Construction Sites

SUN Guang-ling ,
ZHU Qing-sheng ,
LI Qian-ru

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Information & Network Center, Anhui Jianzhu University, Hefei Anhui 230601

Received date: 2019-04-21

Online published: 2019-05-25

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摘要

摘要：随着建筑工地规模的增加，及时了解工地的状态变得越来越困难。无人机技术的发展，在短时间内可以收集到大量建筑工地的图像数据。利用这些数据，可以实时、有效地通过视觉技术监测大型建筑工地。论文提出了一种采用过滤模糊帧，选择关键帧，修正摄像机镜头畸变策略，对施工现场全景图进行图像拼接。用该方法得到高质量的完整全景图，有助识别各种施工现场环境。

关键词： 关键词：关键帧; 无人机; 图像拼接; 图像预处理

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孙光灵 , 朱庆生 , 李茜茹 . 建筑工地高分辨率无人机全景图像关键帧选取与拼接[J]. 巢湖学院学报, 2019 , 21(3) : 40 -46 . DOI: 10.12152/j.issn.1672-2868.2019.03.007

Abstract

Abstract: As the scale of construction sites increases, it's becoming more and more difficult to understand the status of construction sites timely. Thanks to the development of Unmanned Aerial Vehicle technology, a large number of image data of construction sites can be collected in a short time. Utilizing these data, large-scale construction sites can be monitored effectively using computer vision technology in real time. In this paper, a method of image stitching for panorama of construction site is proposed, which adopts the strategy of filtering fuzzy frame, selecting key frame and correcting camera lens distortion. This method produces a complete panorama of high quality, which helps to identify various construction site environments in the context of high-quality image data.

Key words： Key words: key frame; UAV; image mosaic; image pre-processing

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