摘要
为解决在高标准农田建设规划中存在的田间道路不完整,部分田块大小不一、散乱、不规则,农田挖填方量评估不准和建设工期过长等问题,基于多源时空点云融合技术,提出了一种多源数据融合技术,该技术结合了机载激光雷达、高清数码相机等多种数据,利用机载激光雷达获取的高精度数字高程模型和数字正射影像获取现势性强且分辨率高的影像数据,并结合大比例尺地形要素数据,为高标准农田建设提供精确量化的前端基础数据,实现高标准农田建设工程的快速规划和精准实施。结果表明,该多源时空点云融合技术能够有效地应用于高标准农田建设前期规划,不仅可以提高工作效率、降低成本,在减少数据缺失和错误方面还具有较大潜力。
In the preliminary planning of high-standard farmland construction for large range and complex terrain area,there are some problems,such as incomplete,different size,scattered,irregular,inaccurate computation of the earthwork volumes,too long construction period etc.The multi-source temporal-spatial point cloud fusion technology was proposed based on airborne laser radar,high-definition digital camera,which made full use of the advantages of high-precision digital elevation model obtained by airborne laser radar data,strong currency and high resolution of digital orthograph model,and comprehensive large-scale topographic elements,which provided precise quantitative front-end basic data for high-standard farmland construction,and realized the rapid planning and accurate implementation of high-standard farmland construction projects.The results showed that the multi-source temporal-spatial point cloud fusion technology could be effectively applied to the preliminary construction of high standard farmland construction.It reduced the workload of field exploration.It could not only improve work efficiency and reduce costs,but also had great potential in reducing data missing and errors.
作者
刘遐龄
崔兆岩
叶航
王晓强
郑礼
LIU Xialing;CUI Zhaoyan;YE Hang;WANG Xiaoqiang;ZHENG Li(Technology Service Center of Surveying and Mapping,Sichuan Bureau of Surveying and Mapping Geo-information,Chengdu 610083,China;61287 Troops of the Chinese People’s Liberation Army,Chengdu 610036,China;Hongya County Rural Renewal Service Centre,Sichuan Meishan 620300,China)
出处
《中国农业科技导报》
CAS
CSCD
北大核心
2024年第7期80-92,共13页
Journal of Agricultural Science and Technology
基金
四川省自然资源厅科研项目(KJ-2023-002)
自然资源部科技项目(102121212040070009002)。
关键词
多源时空
机载激光雷达
高标准农田
前期建设
multi-source temporal-spatial
airborne lidar
high standard farmland
preliminary construction
