摘要
针对带状复杂区域的倾斜摄影外业影像采集的数据冗余问题,该文提出了一种面向带状复杂区域的倾斜摄影航线优化方法。该方法基于前期勘测成果以及高清卫星影像数据,较好地确定了精确的测区范围并获取了测区的点、线、面等GIS空间数据;建立了以航线数目为目标函数的数学优化模型,并运用粒子群优化算法实现了对航线数目和飞行参数的快速求解;基于CAD、GIS以及大疆智图插件和开发接口进行航线规划和飞行设置,实现了数据的交换融合。该文以云南某道路工程项目为例进行试验。结果表明,引入较为成熟的最优化数学模型并运用数学方法建立起航线数目和航线规划参数之间的联系,对参数进行科学量化和约束,降低对工程经验的依赖。基于该模型建立的航线比常规航线规划软件所规划的航线节约了10%的飞行时间,影像照片数量上减少了9%,综合采集效率提升9.5%,所建立的倾斜摄影实景模型分辨率和精度均符合规范和项目要求。
In order to solve the problem of data redundancy in the field image acquisition of oblique photography in ribbon complex areas,a method for optimizing the route of oblique photography in ribbon complex areas was proposed in this paper.Based on the previous survey results and high-definition satellite image data,the method could better determine the precise survey area and obtain GIS spatial data such as points,lines and areas in the survey area;a mathematical optimization model with the number of routes as the objective function was established,and the number of routes and flight parameters were quickly solved by using particle swarm optimization algorithm;based on CAD,GIS and DJ Smart Map plug-in and development interface,route planning and flight setting were carried out,and data exchange and integration were realized.A road project in Yunnan was taken as an example for testing.The results showed that the introduction of a more mature optimization mathematical model and the use of mathematical methods to establish the relationship between the number of routes and route planning parameters,scientific quantification and constraints on parameters,reduce the dependence on engineering experience.The route established based on this model saved 10% flight time compared with the route planned by the conventional route planning software,reduced the number of image photos by 9%,and improved the comprehensive acquisition efficiency by 9.5%.The resolution and accuracy of the established ilt photography real scene model could meet the specifications and project requirements.
作者
韩春华
郭健
李源
孟靖凯
HAN Chunhua;GUO Jian;LI Yuan;MENG Jingkai(Faculty of Transportation Engineering,Kunming University of Science and Technology,Kunming 650093,China;Creec Engineering Group Co.,Ltd.(Kunming Branch),Kunming 650000,China)
出处
《测绘科学》
CSCD
北大核心
2023年第2期106-114,共9页
Science of Surveying and Mapping
基金
国家自然科学基金项目(51268023)
云南省应用基础研究计划面上项目(2015FB124)。
关键词
数学优化模型
带状区域
倾斜摄影
航线优化
数据冗余
效率提升
mathematical optimization model
banded area
tilt photography
route optimization
data redundancy
efficiency improvement