基于30米高空无人机拍摄的支架识别和定位数据

用于海上光伏施工方现场进度管理，快速参看统计项目已成功安装的桩基数量，并确定支架所在经纬度本数据和算法仅针对海上光伏施工现场图像画面显示，不含个人数据、公共数据，无数据标识体现。本算法是在无人机拍摄的图片中，对支架识别和判断。使用支架识别算法找出可能的支架在图像中的位置，利用设置好的置信度筛选掉错识别的数据，同时结合无人机拍摄时的坐标和高度计算出相对位置。算法规则：支架所在经纬度=支架图像位置*高度*成像裁剪系数+经纬度坐标

This dataset is designed for on-site progress management of offshore photovoltaic construction teams, enabling users to quickly view and count the number of successfully installed pile foundations and determine the longitude and latitude of the installed support frames.
This dataset and its supporting algorithm are only applicable to image frames captured at offshore photovoltaic construction sites, and do not contain any personal data, public data, or any data identifiers.
This algorithm conducts support frame recognition and judgment on images taken by unmanned aerial vehicles (UAVs). It first uses a support frame recognition algorithm to locate potential support frames within the images, filters out misrecognized data via pre-set confidence thresholds, and then calculates their relative positions by combining the coordinate and altitude information recorded during the UAV's image capture.
Algorithm Rule: Longitude and latitude of the support frame = [Image position of the support frame] × Height × Imaging Cropping Coefficient + Original Longitude and Latitude Coordinates