基于30米高空无人机拍摄的桩基识别和定位数据
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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,并确定桩基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,对桩基识别和判断。使用桩基识别算法找出可能的桩基在图像中的位置,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:桩基所在经纬度=桩基图像位置*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 quick viewing and statistics of the number of successfully installed pile foundations and determination of their longitude and latitude. This dataset and algorithm only apply to image displays at offshore photovoltaic construction sites, without containing any personal or public data and with no data identifiers present. This algorithm conducts pile foundation recognition and judgment on images captured by unmanned aerial vehicles (UAVs). Specifically, the pile foundation recognition algorithm is used to locate potential pile foundations in the images, filter out misrecognized data via preset confidence thresholds, and calculate the relative position by combining the shooting coordinates and altitude of the UAV. Algorithm rule: Longitude and latitude of pile foundation = Image position of pile foundation * Altitude * Imaging cropping coefficient + Longitude and latitude coordinates at shooting




