摘要
无人机交叉定标中,时间匹配、空间匹配、观测几何、光谱匹配以及观测设备都会对数据点对的质量产生影响,从而降低传统最小二乘法计算定标系数的有效性。将灰色模型引入无人机交叉定标研究中,利用灰色模型的任意非线性函数逼近能力对数据点对中各辐射基准值的不确定度进行分析,同时将灰色模型与传统最小二乘法相结合确定定标系数的权重。基于无人机多光谱影像和高分4号卫星影像开展试验,结果表明,所提方法的定标结果相对于传统最小二乘法更优,并且具备更强的噪声鲁棒性。
For UAV cross calibration,time matching,space matching,observation geometry,spectrum matching and observation equipment will affect the quality of data point pairs,so as to reduce the effectiveness of traditional least square method in calculating calibration coefficient.In this study,the grey model is introduced into the UAV cross calibration,and the uncertainty of each radiation reference value in the data point pair is analyzed by the approximation ability of any nonlinear function of the grey model,and the weight coefficient of the calibration coefficient is determined by combining the grey model with the traditional least square method.Experiments based on UAV multispectral images and gf-4 satellite images show that the calibration results of the proposed method are better than those of the traditional least square method,and have stronger noise robustness.
作者
张艳秋
花春亮
赵亮
ZHANG Yanqiu;HUA Chunliang;ZHAO Liang(Lanzhou Resources&Environment Voc-Tech College,Lanzhou 730000,China;Gansu Electric Power Design Institute Co.,Ltd.,China Ener gy Engineering Group,Lanzhou 730000,China;Gansu Surveying and Mapping Engineering Institute,Lanzhou 730000,China)
出处
《地理信息世界》
2021年第4期54-57,共4页
Geomatics World
基金
兰州资源环境职业技术学院2020年院级科研能力提升项目(Y2020C-06)。
