基于最小二乘法的太阳影子定位技术研究  

Research on Solar Shadow Location Technology Based on Least Square Method

作　　者：李艳彩 余扬[1] 陈君华[1] LI Yan-cai;YU Yang;CHEN Jun-hua(Key Laboratory of Internet of Things Application Technology, Yunnan Minzu University, Kunming 650500, China)

机构地区：[1]云南民族大学云南省高校物联网应用技术重点实验室

出　　处：《电脑知识与技术》2019年第6期257-260,共4页Computer Knowledge and Technology

摘　　要：针对现实生活里,根据照片或视频中太阳影子的变化规律确定拍摄地点和时间的问题。该文建立了影子长度随日期、时间、纬度、太阳时角,物体高度变化的数学模型;由物体影子顶点坐标,以实际测量影长和模型预测影长间误差最小为目标,运用控制变量法,最小二乘法,结合MATLAB曲线拟合选取初值,确定了物体可能的拍摄地点和日期;并将研究结果推广到视频数据分析领域,实现视频数据的定位分析。仿真实验表明该模型的建立合理,具有较高的精确性。In real life, according to the changing rules of the sun shadow in photos or videos, the shooting location and time are deter. mined. In this paper, a mathematical model of shadow length varying with date, time, latitude, solar time angle and height of object is established. Based on the coordinates of shadow vertex, the objective is to minimize the error between actual measured shadow length and predicted shadow length by model, the initial value is selected by using control variable method, least square method and MATLAB curve fitting. The possible shooting location and date of the object, and the research results are extended to the field of video data analysis to realize the location analysis of video data. The simulation results show that the model is reasonable and ac. curate.

关 键 词：太阳影子定位 太阳时角 最小二乘法 曲线拟合 初值选取 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]