基于无人机摄影技术的农田场景可视化系统设计与实现
Design and implementation of a farmland scene visualization system based on drone photography technology
刘明 1李永可 1靳晟 1李悦 2余恩1
作者信息
- 1. 新疆农业大学计算机与信息工程学院,乌鲁木齐 830052
- 2. 乌鲁木齐气象卫星地面站,乌鲁木齐 830002
- 折叠
摘要
为了快速且准确地获取大面积农田数字影像和三维图像信息,提出了一种基于无人机倾斜摄影技术构建高精度农田影像和实景三维模型的方法.以新疆维吾尔自治区昌吉市华兴农场作为研究区域,基于无人机采集的地面影像数据,分别使用全景地图构建技术和三维建模技术制作农田高精度的数字正射影像和实景三维模型,在此数据基础上与研究区域基本信息数据进行融合,采用B/S架构设计基于农田场景的可视化系统.结果表明,该可视化系统能够对农田场景进行二维和三维视图的可视化展示.
Abstract
In order to quickly and accurately obtain digital images and 3D image information of large-scale farmland,a method based on drone tilt photography technology was proposed to construct high-precision farmland images and real-life 3D models.Taking Huaxing Farm in Changji City,Xinjiang Uygur Autonomous Region as the research area,based on the angle image date images collect-ed by drones,the high-precision digital orthophoto images and 3D real-life models of farmland were made by using panoramic map construction technology and 3D modeling technology.On the basis of this data,it was integrated with basic information data of farm-land to build a visualization system based on farmland scenes by B/S architecture.The results showed that this visualization system could visualize and display two-dimensional and three-dimensional views of farmland scenes.
关键词
农田场景数字化/可视化系统/无人机倾斜摄影技术/ContextCapture/三维建模技术Key words
digitization of farmland scene/visualization system/drone tilt photography technology/ContextCapture/3D modeling technology引用本文复制引用
基金项目
新疆维吾尔自治区重大科技专项(2022A02011)
出版年
2024
NETL
NSTL
万方数据