基于图像拼接的茶园监控标定算法研究  

Research on tea garden monitoring calibration algorithm based on image stitching

作　　者：蒋文慧[1] Jiang Wenhui(Liuzhou City Vocational College,Liuzhou,545036,Guangxi,China)

机构地区：[1]柳州城市职业学院,广西柳州545036

出　　处：《新疆农机化》2024年第6期19-21,44,共4页Xinjiang Agricultural Mechanization

基　　金：柳州城市职业学院2023年度校级科研立项课题一般项目(2023KYYB22)。

摘　　要：在茶园日常巡查中引入低空近景遥感监控可以大幅度降低对劳动力的需求,而图像标定是低空近景监控的基础。针对我国无人机飞行高度低、监控范围小的特点,提出通过图像拼接扩大标定区域。首先,通过设置标定板获取监控区域内的位置信息,然后通过图像拼接实现多帧图像融合,扩大标定范围,最后通过标定板的位置信息完成拼接后图像内位置信息的标定。该方法有效地扩大了低空近景视觉标定的范围,为解决现有无人机飞行高度低、监控范围小的问题提供了参考。The introduction of low altitude close range remote sensing monitoring in daily inspections of tea gardens can significantly reduce the demand for labor,and image calibration is the foundation of low altitude close range monitoring.Aiming at the characteristics of low flight altitude and small monitoring range of unmanned aerial vehicles in China,it is proposed to expand the calibration area through image stitching.Firstly,the position information within the monitoring area is obtained by setting up a calibration board.Then,multi frame image fusion is achieved through image stitching to expand the calibration range.Finally,the position information within the stitched image is calibrated using the position information of the calibration board.This method effectively expands the range of low altitude close range visual calibration,and provides a reference for solving the problems of low flight altitude and small monitoring range of existing drones.

关 键 词：茶园 低空近景 标定 图像拼接 

分 类 号：S252.9[农业科学—农业机械化工程]